Find your next role

Canada, Remote | Canada, Toronto · Full time

Join a team of engineers at NVIDIA dedicated to scaling the AI infrastructure that powers cutting-edge data science applications. Our team solves complex challenges across datacenter hardware, networking, distributed systems, and software deployment. We collaborate closely to design and deliver leading infrastructure solutions. We value strong technical foundations paired with creative thinking and a bias toward execution. Together, we continuously push boundaries, grow our skills, and advance NVIDIA’s capacity to build and deploy AI-based infrastructure at scale. What you will be doing: Contribute to a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers. Build end-to-end automation of data center management, break/fix, and the full span of system upkeep for large-scale Machine Learning systems. Implement monitoring and health management capabilities that enable industry-leading reliability, availability, and scalability of GPU assets. Harness multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry. Build automated test infrastructure that we use to qualify distributed systems for operation. Partner with engineering teams across NVIDIA to ensure the software integrates seamlessly from the hardware all the way up to the AI training applications. What we need to see: 5+ years of experience in a similar role working on large-scale production systems. BS in Computer Science/Engineering/Physics/Mathematics or other comparable degree, or equivalent experience. Expert level knowledge of a systems programming language (Go, Python, and/or Rust) and a solid understanding of Data Structures and Algorithms. Strong background in Linux system administration and management. Deep knowledge of container orchestration platforms such as Kubernetes and/or SLURM. Understanding of performance, security, and reliability in complex distributed systems. Familiarity with system level architecture, data synchronization, fault tolerance, and state management. Ways to stand out from the crowd: Proficiency in designing and building widespread distributed networks. Experience managing large-scale distributed systems independently of cloud providers. Extensive expertise in datacenter operations and GPU hardware. Hands-on experience working with RDMA networking. Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, SLURM). You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

Canada, Remote · Full time

NVIDIA DGX Cloud builds and operates large-scale GPU infrastructure for AI workloads. We are looking for Software Engineers with SRE or Production Engineering experience who have worked hands-on with bare-metal NVIDIA systems. This team builds the software and operational tooling that moves GPU capacity from installed hardware to production service supporting an IaaS production environment of BMaaS, VMaaS. What you’ll be doing: Build automation for bare-metal provisioning, hardware validation, firmware and software upgrades, repair, and cluster lifecycle management. Develop tools that interact with BMC and Redfish interfaces to monitor hardware health, manage server state, and assist recovery workflows. Handle and advance NVIDIA NVL72 systems and BlueField-3 or later DPUs throughout cloud partner and on-premises environments. Diagnose failures across servers, DPUs, GPU systems, CPU systems, networking, Linux, and Kubernetes; turn recurring issues into automated detection and repair. Define validation and handoff criteria so new capacity enters production safely and consistently. Take part in on-call duties, incident response, root-cause analysis, and follow-up to implement permanent solutions. Work with hardware, networking, platform, data center operations, and partner teams to resolve issues across ownership boundaries. What we need to see: 12+ years building software for or operating production infrastructure, including substantial hands-on bare-metal experience. Strong Go or Python skills, with a record of delivering production automation and services. Direct experience with BMC and Redfish in server provisioning, health inspection, power management, or fault diagnosis. Practical experience working directly with NVIDIA GPU hardware, such as NVL72 systems, and BlueField-3 or newer DPUs. Experience with Linux, firmware and driver management, network boot, and the server lifecycle from initial provisioning through repair. Experience managing production reliability through on-call duties, incident response, observability, and durable solutions. Ability to debug failures across hardware, host operating systems, networking, and distributed services. Clear communication and demonstrated ownership of problems that span multiple teams. BS/MS in Computer Science or equivalent experience in a practical setting. Ways to stand out from the crowd: Experience operating BlueField DPUs in DPU mode, including host-to-DPU connectivity and lifecycle debugging, with DPU or equivalent experience considered. Background with NVLink, InfiniBand, Spectrum-X, or GPU cluster performance validation. Experience building safe, repeatable workflows for rack-scale bringup, firmware upgrades, hardware replacement, and customer handoff. Experience with Kubernetes, GitOps, Argo CD, SLOs, and fleet-wide automation. At NVIDIA, you’ll help make next-generation AI infrastructure production-ready at scale! You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

USA, CA, Pleasanton · Full Time

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. About the Team The Intelligent Experience Platform (IXP) team builds technology that powers a unified, intelligent, and seamless user experience across the Workday ecosystem. As part of Core Services within Workday's Platform organization, IXP delivers the foundational layers that every Workday application and agent is built on and every user interacts with. Through data-driven insights, cutting-edge technology, and strong cross-functional collaboration, the team multiplies the impact of every application team by delivering scalable, user-centric solutions and a cohesive, agent-ready foundation essential to Workday's next era of innovation. We are passionate about bringing industry-leading solutions to life while putting our people first—embracing new challenges with courage, and staying committed to delivering exceptional value for our customers. About the Role As a Sr. Software Development Engineer on the IXP team, you will contribute to building, scaling, and maintaining Workday's messaging platform and services spanning SMS, WhatsApp, Push notifications, and Email. In this role, you will work closely with senior technical leaders to deliver robust, high-volume email delivery capabilities at enterprise scale across Workday's core messaging and email infrastructure. You will design, develop, and operate high-performing, resilient, and secure microservices. Your contributions will directly impact how millions of users receive critical, timely communications from the Workday platform. Key Responsibilities: Design, implement, and maintain critical components of Workday's enterprise messaging and email platform in alignment with broader platform standards and architecture goals. Develop and scale core multi-channel messaging services, templates, and deliverability infrastructure, adhering to established design patterns and best practices. Collaborate effectively across Product Management, Design, Security, and engineering team members to deliver high-quality email capabilities. Ensure code quality, security, performance, resilience, and testability across all owned platform services. Participate in technology evaluations and third-party messaging and email provider integrations, build prototypes, and implement optimized solutions for email throughput and deliverability. Help shape team engineering practices, participate in code and design reviews, and mentor junior engineers on the team. About You Basic Qualifications 8+ years of related software engineering experience, with deep expertise in building and operating high-scale distributed systems and platform services. 5+ years in modern programming languages (e.g., Java, Kotlin, Go, or C++), object-oriented design, REST/gRPC API development, automated testing, and CI/CD pipelines. 5+ year experience designing and building scalable distributed systems, including event-driven microservices or messaging platforms, following architectural best practices. Other Qualifications Technical Execution and Strategy: Ability to execute on feature roadmaps and shape the technical direction of messaging services in alignment with platform team goals. Cross-Functional Collaboration: Track record of effective collaboration with product, design, and cross-functional engineering teams to deliver high-quality software features. Engineering Excellence: Commitment to writing clean, maintainable code with high standards for testing, performance, security, and operational reliability. Pragmatic Problem Solving: Strong analytical skills with a customer-centric focus, capable of building prototypes and evaluating trade-offs to balance feature velocity with platform quality. Teamwork and Mentorship: Experience contributing to code reviews, sharing knowledge, and helping onboard or mentor junior team members. Strong verbal and written communication skills, with the ability to explain technical details clearly to peers and collaborators. Workday Pay Transparency Statement The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here . Primary Location: USA.CA.Pleasanton Primary Location Base Pay Range: $176,000 USD - $264,000 USD Additional US Location(s) Base Pay Range: $148,200 USD - $264,000 USD Our Approach to Flexible Work With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter. Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records. Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law. If you require a reasonable accommodation, you may email accommodations@workday.com , as far in advance as possible. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Palo Alto, CA

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SOFTWARE ENGINEER, NETWORK SOFTWARE & SERVICES As part of the Network Software and Services for AI (nssAI) team at SpaceXSI, you will build cutting-edge software, services, and frameworks to empower our Network Development Engineers. Working hands-on, you will tackle all facets of network management – metric collection, configuration, zero-touch provisioning, monitoring, and auto-remediation – driving automation-first solutions for SpaceXSI's production and ancillary networks. Expect to develop extensible tools, streamline complex processes, and ensure rock-solid reliability to support SpaceXSI's mission of accelerating human scientific discovery through AI. RESPONSIBILITIES: Building software and tools with extensive metrics coverage for some of the world’s largest GPU supercomputing network fabrics used for AI training and serving customer inference queries Implement IaC best practices, enhancing deployment pipelines, and ensuring robust, secure service delivery across our production environments BASIC QUALIFICATIONS: Bachelor's degree in an engineering or STEM discipline PREFERRED SKILLS AND EXPERIENCE: Deep experience collaborating with network engineers daily using extensive knowledge of network topologies, physical and logical, and network protocols Expert knowledge and proven history with designing scalable and reliable software from the ground up that can build and orchestrate tens of thousands of network devices at lightning speeds Ability to thrive in ambiguity, creating metrics that will help prioritize the focus of the team and your own COMPENSATION AND BENEFITS: $150,000 - $250,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .

Palo Alto, CA

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SOFTWARE ENGINEER, X MONEY We are seeking a talented Software Engineer to join our X Money team, focused on building a revolutionary global payment network that will serve over 600 million users and rival the world’s largest financial institutions. In this role, you will specialize in backend development, designing and optimizing robust microservices to ensure scalability, security, and reliability. You will support full-stack efforts, collaborate with cross-functional teams on payments, fraud detection, and compliance initiatives, and contribute to the creation of a high-scale financial products platform. This is an opportunity to work on greenfield projects in a fast-paced, startup-like environment, driving innovation at the intersection of AI and finance. RESPONSIBILITIES: Develop backend services, APIs, and data models to support high-volume, multi-user environments Work with iOS, Android & Web client engineers to ship products Design robust infrastructure and microservices for payments, transactions, growth, monetization, and engagement across platforms Build and maintain fullstack features, including user dashboards, personalized experiences, content delivery, interactive tools, assessments, and real-time analytics Lead architecture, scalability, and reliability decisions for high-concurrency, low-latency systems Uphold engineering excellence via testing, monitoring, deployment, and secure data handling BASIC QUALIFICATIONS: 2+ years of experience working on large-scale consumer applications Experience with distributed systems for high-scale, low-latency environments Experience with Rust, Go, Python, or Java PREFERRED SKILLS AND EXPERIENCE: 5+ years of experience working on large scale consumer applications or early-mid stage startup experience as a founding engineer, emphasizing rapid prototyping, user-centric design, and AI solutions Experience with high-volume streaming systems COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .

Instacart

Canada - Remote (ON, AB, BC, or NS Only)

The Senior Software Engineer, Enterprise AI will design, develop, test, and operate scalable AI-powered solutions for Instacart. This role involves translating complex business needs into engineering solutions and collaborating with cross-functional teams throughout the full software development lifecycle. The position requires at least five years of experience in building and operating production systems, with proficiency in modern programming languages and distributed systems.

Instacart

Canada - Remote (ON, AB, BC, or NS Only)

The Senior Machine Learning Engineer will design, build, and deploy production machine learning systems for Instacart's Enterprise AI organization. This role involves owning the full machine learning lifecycle, from problem formulation to continuous improvement, and collaborating with cross-functional teams to deliver scalable solutions. The position requires strong machine learning and software engineering expertise, with a focus on Python and cloud infrastructure.

Remote Canada

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We build the experiences that connect a customer's intent to buy with the flexibility of Affirm Card. From making financing options easier to understand to creating intuitive checkout journeys, we turn complex financial capabilities into simple, trustworthy experiences. Our roadmap includes evolving Default Terms, supporting additional cards, and strengthening the mobile experiences customers rely on when deciding how to pay. Our work sits at the intersection of mobile, backend systems, and product innovation. We partner closely with Product, Design, and engineering teams across Affirm to introduce new capabilities while protecting the reliability of our checkout-critical surfaces. As a full-stack Software Engineer II, you'll help bring these experiences to life through customer-facing features and the services behind them. We're looking for a curious, collaborative engineer who cares about the complete customer journey and enjoys turning challenging problems into thoughtful solutions. Together, we'll make Affirm Card easier to use and help customers make financial decisions with greater confidence. What You'll Do With the support of your team's tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will support the operations and availability of your team's artifacts by creating and monitoring metrics, escalating when needed, and supporting "keep the lights on" & on-call efforts. You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For You have a total of 1.5+ years of experience as a software engineer. You have experience designing, developing and launching backend systems and are proficient in one of Python or Kotlin. You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes. You have experience shipping web apps using declarative UI frameworks like React or Vue. You have experience designing, developing and launching APIs at scale using languages like Python or Kotlin. You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Base Pay Grade - L Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: CAD $133,000 - $183,000. This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Remote Canada

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm's engineering team is building a large-scale, highly-available, and global infrastructure that is shared across multiple financial products. Ensuring that our infrastructure is accessible to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis. The Compute Platform team owns the EKS foundation that Affirm's products run on, from cluster provisioning and lifecycle through the safety standards that keep thousands of workloads reliable at scale. Affirm operates 90+ EKS clusters across environments and regions, and this team is responsible for making that fleet standardized, automated, observable, and self-healing, while establishing and enforcing the workload configuration standards that protect availability. Our mission is to provide a secure, reliable, and scalable Kubernetes platform that lets infrastructure and application teams deploy and operate with confidence and minimal operational friction. What you’ll do As a member of the Compute Platform organization, you will collaborate with other teams - including Product, Infrastructure, Traffic, Cost & Capacity Engineering to: Architect and evolve Affirm's EKS platform, driving strategy across cluster lifecycle, node management, and shared cluster components Lead the technical direction for cluster provisioning, upgrades, and teardown through standardized IaC (Terraform, Spacelift) and self-service workflows Own the reliability of core shared components across the fleet (Karpenter, CoreDNS, VPC CNI, Kube Proxy, Metrics Server, etc) and the CI/CD pipeline that ships them consistently Define and enforce EKS workload safety standards covering resource configuration, workload isolation and blast radius, disruption tolerance (PDBs), Karpenter consolidation strategies, etc Build the enforcement and automation path that moves each standard from research and white-glove onboarding through broad adoption to policy-enforced defaults for new workloads Establish the observability, baseline audits, and reporting needed to identify hot spots and measure risk mitigation over time Partner with cluster-user teams (checkout, batch, ML, analytics, DevProd, etc) to understand workload needs and shape the platform accordingly Drive cost and capacity strategy across node scaling, bin packing, and EC2 instance selection Mentor engineers across the Compute Platform teams and set the bar for operational excellence Participate in the on-call rotation, triage and catalogue runtime K8s issues, and collaborate with SRE on production incidents What we look for Deep EKS and Kubernetes internals expertise, including cluster upgrades, node lifecycle, scheduling, and autoscaling (Karpenter, Cluster Autoscaler) Demonstrated experience automating Kubernetes operations at fleet scale, from cluster provisioning, upgrades, and node lifecycle to self-healing remediation and policy-driven enforcement, replacing manual toil with auditable, self-service workflows Strong grasp of workload reliability patterns: resource tuning, probes, PDBs, topology and isolation constraints Experience designing and enforcing platform standards through policy (admission control, OPA/Gatekeeper or equivalent) and automated frameworks Infrastructure as Code fluency with Terraform and a GitOps or pipeline-driven delivery model (ArgoCD, kube-applier, or similar) Observability instincts: defining SLOs, building metrics, logs, and alerting coverage, and running data-driven baseline audits Cross-functional collaboration skills with platform, product, SRE, and capacity teams Demonstrated mentorship and technical leadership across teams Drive to track emerging Kubernetes community best practices and adapt them to Affirm's needs Qualifications 10+ years in software or infrastructure engineering with proven delivery of complex platform solutions 6+ years hands-on operating production Kubernetes at scale, ideally EKS on AWS Strong cloud-native architecture experience on AWS (EC2, VPC, IAM, EKS) Experience with Infrastructure-as-Code (Terraform, Spacelift a plus) and GitOps-style deployment pipelines Expert-level proficiency in Go or Python and a proven track record building production-grade Kubernetes controllers, operators, and platform tooling that other engineering teams depend on Track record designing and enforcing standards across many teams without becoming a bottleneck Exceptional problem-solving and systems-thinking skills Demonstrated leadership and cross-functional influence This position requires either equivalent practical experience or a Bachelor’s degree in a related field. This posting is for an existing vacancy. Base Pay Grade - R Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) CAN base pay range per year: $ 209,000 - 269,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Remote Canada

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm's engineering team is building a large-scale, fault-tolerant, and global infrastructure that is shared across multiple financial products, merchants, and vendors. Ensuring that our infrastructure is transparently available to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of writing blameless postmortems as well as writing detailed tech specs and gathering feedback before large changes to systems. The AI Platform team owns Affirm's paved path for building, running, evaluating, and governing AI systems. Our customers are not only Affirm users, but also every engineer and a growing set of production workloads at Affirm. As a team, we are responsible for building and exposing simple, governed interfaces to models, tools, and agents, with identity, cost attribution, reliability, and security built in. Examples of components we own include the LLM Gateway that fronts every approved model (Claude, ChatGPT, and open-weight models across AWS Bedrock and other providers), the MCP Gateway that mediates and audits tool calls, the Agent Runtime that gives agentic workloads bounded execution, and the evals and observability layer that tells teams whether an AI change is better, cheaper, or safe to ship. We are early: the gateway is in daily use across engineering, the first production agent is live, and the next year takes us from developer productivity to production inference and agents. What You'll Do Plan, execute, and own technical decisions and projects within the AI Platform team, from design through launch and on-call. Design and build the gateway, runtime, and evaluation services that take AI workloads at Affirm from pilot to production, securely scaling across millions of users and their transactions. Make AI spend attributable and governable: build the identity, quota, routing, caching, and failover controls that let teams adopt new models and tools without re-solving the same platform problems. Partner with security, infrastructure, and product engineering teams to set the guardrails for agentic workloads and the on-behalf-of identity model for tool access. Create and monitor metrics for your team's systems, and own the operational health of what you ship: monitoring, alerting, runbooks, and on-call. Set and improve code review and design standards, and advocate for them beyond your team through writing and tech talks. Use AI tools and agentic workflows every day as a multiplier for your own code, design review, and operations, and push the team on what a small AI-native team can deliver. Educate, mentor, and grow engineers in the team, and drive best practices around design, coding, and testing. What We Look For You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. You have practical experience building with LLMs, agents, or AI frameworks in production: inference APIs, LLM gateways (LiteLLM or similar), MCP, tool calling, evals, or agent runtimes. You understand AI usage and the infrastructure needed to support and leverage AI workloads across different disciplines. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan Pay Grade - N Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) CAN base pay range per year: $153,000 - $213,000 CAD #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Palo Alto, CA

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SOFTWARE ENGINEER, ADS PRODUCT X Ads is one of the highest-leverage product areas at X. You’ll work on systems that operate at massive scale, directly affect the business, and are being rebuilt with modern infrastructure and AI at the center. This is an opportunity to join a small, fast-moving team where early-career engineers can take on real ownership, learn from strong engineers, and ship products that matter. We’re looking for high-slope software engineers who want to help rebuild and transform the X Ads Platform using SpaceXSI's infrastructure and AI stack. This role is a great fit for engineers who are early in their careers but learn quickly, ship fast, and want to work on products and systems that operate at massive scale. You do not need to have deep ads experience already, but you should be excited to learn how large-scale advertising systems work and how AI can make ads more relevant, useful, and effective. You’ll work across product, backend systems, infrastructure, and AI-powered features that directly impact the majority of X’s revenue. RESPONSIBILITIES: Build and ship product features across the X Ads Platform Work on systems related to ad delivery, targeting, optimization, measurement, and advertiser experience Use SpaceXSI's infrastructure and AI capabilities to improve the performance and quality of advertising products Contribute to distributed systems that need to be reliable, fast, and scalable Collaborate closely with engineers, product leads, and cross-functional partners to turn ideas into working products Learn quickly, take ownership, and operate in a fast-moving environment where high-quality execution matters Debug, maintain, and improve production systems that serve real users and drive significant business impact BASIC QUALIFICATIONS: Experience building software through internships, projects, research, open-source work, startups, or full-time roles PREFERRED SKILLS AND EXPERIENCE: Strong software engineering fundamentals Ability to write clean, maintainable code and learn new codebases quickly Strong problem-solving skills and comfort working through ambiguity Interest in backend systems, distributed systems, data pipelines, product engineering, or AI applications A bias toward action: you like shipping, learning from real users, and improving quickly Strong ownership mindset and willingness to take responsibility for meaningful parts of the product Excitement about building high-quality product experiences for advertisers and users Experience with ads, recommendations, search, ranking, marketplaces, payments, analytics, or growth systems Experience working with large-scale backend systems or data processing pipelines Experience with React, Golang, Python, Rust, gRPC, Java, or Scala Experience with machine learning, LLMs, experimentation, ranking, or optimization systems Prior startup, research, internship, or high-impact project experience Experience with React, Golang, Python. Rust, gRPC, and/or Java/Scala Strong fundamentals, learning speed, and ability to ship COMPENSATION AND BENEFITS: $150,000 - $350,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .

Palo Alto, CA

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SOFTWARE ENGINEER, DATA ENGINEERING (X) As a Data Engineer in X product engineering team, you will play a key role in providing comprehensive data solutions that own or serve a wide range of stakeholders, including our end-users and internal teams such as Product engineering, Algorithm, Legal, Finance and Sales. Our work utilizes AI, distributed computing and hybrid storage technologies, but extends beyond purely data-centric solutions, encompassing non-data-related challenges, ultimately maximizing the potential of data for the benefit of our diverse user base. You'll help build and operate a distributed data platform that powers hundreds of realtime and batch pipelines processing billions of events per day. The team runs like an internal startup — we own problems end to end, from raw event streams to the datasets, tooling, and metrics that product, growth, safety, and business teams depend on daily. RESPONSIBILITIES: Design, build, and operate production-grade realtime and batch pipelines that ingest, process, validate, and deliver data powering user-behavior insights and product decisions Create shared datasets, fact tables, and internal data products that let other teams analyze, debug, and improve product performance Prototype and build tooling that automates and accelerates internal data workflows — backfills, dashboards, report generation, and self-serve access to data Own data correctness end to end: validate with output invariants, denominator reconciliation, and independent recomputation, and lead root-cause investigations when key metrics move unexpectedly Move fluidly across query engines and frameworks (e.g., BigQuery, Trino, Clickhouse for analytics; Flink, Kafka, Spark/Scalding for streaming and batch), choosing the right tool and adapting quickly to new infrastructure and environments Partner across product and business teams to surface where data gaps exist and prioritize the highest-impact opportunities for new data acquisition and improvement Iterate quickly on feedback, shipping the smallest useful increment with a strong bias toward efficient, accurate, and reliable solutions BASIC QUALIFICATIONS: 3+ years of professional software engineering experience Experience with Python, Rust, Scala, Go or Java, and data pipeline toolings and distributed systems PREFERRED SKILLS AND EXPERIENCE: Software engineering experience in data engineering or distributed systems Knowledge of realtime and batch data processing tools such as Spark/Kafka/Flink/SQL and various storage systems in RMDBs/NoSQL Experience solving large scale problems and comfortable doing incremental quality work while building brand new systems to enable future quality improvements Proven records of interpreting product requirements into engineering implementation plans, and effectively communicating with different groups (AI, product, marketing/sales and engineering) COMPENSATION AND BENEFITS: $125,000 - $400,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .

Palo Alto, CA

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SOFTWARE ENGINEER, EVALS The evals team creates and executes instruments for measuring model capabilities and behaviors. These instruments are used to clean datasets, provide feedback for experiments, and track growth throughout training. The evals team also diagnoses why agents fail and how to make improvements both short and long term. We manage the execution infrastructure, design data sets and grading schemes. You will own and elevate our mission-critical research platform that directly accelerates SpaceXSI's frontier work. You will design, build, and ship delightful and bulletproof systems that engineers love to use every day. This role values a strong attention to details, first principles reasoning, and great taste. BASIC QUALIFICATIONS: 3+ years of experience actively writing code PREFERRED SKILLS AND EXPERIENCE: A track record of shipping high quality projects and a strong sense of urgency Exceptional product taste - you have a sharp sense for what “good” looks like in outputs, and you can translate fuzzy notions of quality, helpfulness, truthfulness, and safety into concrete, measurable criteria Strong attention to detail Previously founded a startup or joined a fast-growing early-stage startup Familiarity with AI/ML workflows, annotation tools, or evals Experience creating and maintaining component libraries, design systems, or internal tools COMPENSATION AND BENEFITS: $175,000 - $275,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .

Palo Alto, CA

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. RESPONSIBILITIES: Design, build, and implement a large-scale distributed system that powers one of the world's largest supercomputing clusters Dive into the low-level stack to profile, debug, and optimize performance across diverse systems, including GPUs, Linux kernel, networking, and filesystems, to achieve peak efficiency Collaborate on hardware, software, and algorithm co-design to push the boundaries of AI training Maintain and innovate on our codebase to ensure scalability and reliability Develop tools to enhance team productivity and streamline workflows BASIC QUALIFICATIONS: Systems programming experience in C, C++, or Rust Hands-on experience with Kubernetes (K8s), including cluster architecture, pod lifecycle, networking (CNI), storage (CSI), service mesh, and production-grade operations PREFERRED SKILLS AND EXPERIENCE: Computer systems fundamentals with a grasp of how computers execute code from transistors to high-level applications Collaborate in a fast-paced, open environment to design and foundational systems Strong debugging skills across the full stack — from kernel and OS up through container orchestration layers Deep knowledge of operating systems internals (process scheduling, memory management, file systems, and synchronization primitives) Proficiency in performance analysis, profiling, and low-level optimization techniques Solid understanding of computer networks and the TCP/IP stack Experience working with Linux kernel concepts or systems-level debugging tools (e.g., perf, gdb, strace, Wireshark) Proficiency deploying and managing workloads using Kubernetes manifests, Helm, Operators, and GitOps workflows Solid understanding of containerization technologies (Docker, containerd, crio) and their interaction with the Linux kernel Experience with observability and monitoring in distributed systems (Prometheus, Grafana, VictoriaMetrics, OpenTelemetry, or similar) COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .

Palo Alto, CA

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SOFTWARE ENGINEER, X DEVELOPER PLATFORM The X Developer Platform team owns the partner ecosystem that connects X with B2B and B2C developers around the world. X reaches more than 500 million active users who produce billions of posts every week, and that activity generates signals and capabilities that go far beyond a conversation to listen to: real-time knowledge of what is happening in the world, rich media, commerce, communities, and the connective tissue between people, businesses, and now agents. Our job is to make that value available to developers as the everything API, so that anyone can build products on top of X. Our mission is to help achieve the X Everything app and make X the clear digital townsquare of Earth. We do this by making X data and functionality available through a consistent and reliable API suite, so that developers and the emerging world of agents can realize its full potential. Behind the scenes we collect, process, enrich, and deliver hundreds of billions of signals a day. The products we build are highly available, scalable, optimized, respectful of X's user base, and essential to the customers who depend on them. We work closely with our Product and Business counterparts and directly with customers to shape what we build next. RESPONSIBILITIES: Collaborate with engineering, product leadership, business leadership, and engineers across the company Maintain and improve the systems that serve our existing customers while designing and shipping new products that expand what the platform can do Design clean, reliable, well-abstracted solutions to problems of scale, correctness, and developer experience Help shape the architecture of the platform as it grows to serve new categories of consumers, including agents and automated systems BASIC QUALIFICATIONS: Bachelor's or master's degree in computer science 5+ years of industry experience working on commercial software application or services PREFERRED SKILLS AND EXPERIENCE: Distributed Systems experience (Kafka experience is a plus) Experience working with RPC frameworks and microservices Understanding of core CS concepts, such as, common data structures and algorithms Experience with front-end development technologies (e.g., HTML, CSS, JavaScript Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud) COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .

Palo Alto, CA

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SR. SOFTWARE ENGINEER, SEARCH INFRASTRUCTURE As a senior backend engineer, you’ll design and build scalable, high-performance systems that power subscriptions infrastructure, new monetized products, user growth, and creator monetization. You’ll work on mission-critical infrastructure that processes millions of transactions, optimizes user acquisition and retention, and enables creators to earn a living through their content. This is a unique opportunity to make a large-scale revenue impact while creating products that users and businesses love. RESPONSIBILITIES: Design and build large scale search infrastructure (real-time indexing, serving, and data pipelines) that handles massive write and query loads with strict latency and reliability requirements Go deep into search internals (indexing, query execution, and relevance) and help shape the technical direction of the core search infrastructure Operate production services end to end, including monitoring, debugging, incident response, and performance optimization Lead and drive incident responses and recovery with your peers. Review and contribute to incident postmortems and hold a high bar for the same BASIC QUALIFICATIONS: 5+ years developing large-scale infrastructure, distributed systems or experience with storage or hardware architecture Experience with high performance Rust, C++ or JVM-based languages Experience with operating system internals, filesystems, networking, or database storage engines PREFERRED SKILLS AND EXPERIENCE: Hands-on experience with search and indexing technologies (Elasticsearch, Lucene, or similar) and an understanding of how they work and why Obsessed performance, reliability, scalability and quality Ability to take full ownership of problems and learn whatever is needed to solve them Comfortable moving quickly in a fast-paced environment with shifting priorities and tight deadlines Contributions to open-source search or infrastructure projects COMPENSATION AND BENEFITS: $150,000 - $400,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .

Palo Alto, CA

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SR. ANALYTICS ENGINEER (X) We are seeking a skilled Senior Analytics Engineer to build and maintain robust data systems that enable high-impact quantitative analysis and business decision-making. This role combines strong software engineering practices with expertise in large-scale data processing and advanced analytical methods to deliver reliable, scalable solutions across the organization. This is an opportunity to work on mission-critical systems that power quantitative decision-making at global scale. RESPONSIBILITIES: Design, implement, and optimize end-to-end data pipelines for processing high-volume datasets using tools such as Spark, Kafka, and/or Flink Develop quantitative models and statistical frameworks to support experimentation, forecasting, and performance measurement Build and maintain data infrastructure that ensures data quality, consistency, and accessibility for analytical workflows Collaborate with product engineering, product, and operations teams to translate business requirements into production-grade data systems and insights Conduct A/B tests, causal analysis, and performance evaluations to drive measurable improvements in key metrics Implement monitoring, alerting, and automation for data systems to support real-time decision support Mentor team members on best practices for scalable data engineering and quantitative problem-solving BASIC QUALIFICATIONS: Bachelor's or master's degree in computer science, statistics, applied mathematics, or quantitative field 5+ years of experience building production data pipelines and infrastructure at scale Experience in Python, SQL, and distributed computing frameworks (e.g., Spark, Flink, Hadoop) PREFERRED SKILLS AND EXPERIENCE: Demonstrated expertise in statistical methods, predictive modeling, hypothesis testing, and experimental design Solid understanding of cloud services for data storage, processing, and orchestration Excellent problem-solving skills with a focus on delivering business impact through reliable systems Prior work in consumer technology, or social media domains Experience with real-time streaming systems and low-latency data processing Contributions to open-source data tools or publications on large-scale analytics systems Track record of reducing operational costs or improving system efficiency through data optimizations Have the ability to bridge engineering excellence with rigorous analytical approaches COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .

San Francisco, CA | Seattle, WA

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team The Integrity and Attestation team's remit is to prove what is running at Anthropic: what code it is, where it came from, and whether the machine underneath it is in a known-good state. We build the systems that cryptographically verify build artifacts, model weights, and machines, from hardware roots of trust through firmware and boot to the credentials a workload receives. We also secure the management plane of our servers. These controls protect our model weights and customer data across cloud providers and bare-metal AI data centers, including sites operated by partners. We are hiring an Engineering Manager to lead this team. Anthropic is bringing up new compute quickly, across new hardware platforms and new partners, and each one has to meet the same bar. In this role you will set the team's charter, practices, and priorities. You will partner with our infrastructure, data center, and hardware teams, as well as outside vendors, so that integrity is designed in rather than added later. The goal is simple to state: a machine gets secrets and workloads only after it proves it should, and a new site reaches that bar without slowing down compute. About the role Own the integrity roadmap: threat model from silicon and firmware up through the operating system and workloads, decide what to build, and deliver it Be able to reason about the design and implementation of remote attestation, measured and verified boot, hardware roots of trust (TPM, SPDM), machine identity, and the reference values that define known-good Make attestation the default path, so machines receive credentials and join clusters only after proving their firmware, system software, and security configuration, with no human in the loop Build provenance for what we deploy: signed build artifacts and model weights, independent verification, and tamper-evident transparency logs Lead the protection of sensitive data in use and at rest, including encryption and the chokepoints that control access to it Secure the server management plane across every site: scoped and audited access to baseboard management controllers and management of per-device credentials Make security repeatable as compute grows, so a new site or hardware platform inherits these controls in hours, not weeks Join compute bring-up, data center, and hardware teams at design time Define clear ownership with partner teams: when operations move to another team, your team keeps the security properties and can prove they still hold Own the integrity evidence for our security goals and compliance: the invariants hold, and you can prove it Hire, grow, and retain senior security software engineers; own their career development, and set the practices the team runs on as it scales Who you are Low ego, high empathy; has built diverse teams and has former reports who would vouch for them. Experience managing infrastructure or security engineering teams, including hiring, developing, and managing senior and staff engineers Has grown engineers into staff or lead roles, and experience with performance management Created and maintained a high performing in hypergrowth environments. Kept a team intact and delivering through reorgs, charter changes, or leadership turnover Experience owning a security or infrastructure domain end to end: setting multi-year strategy, delivering year-long cross-organizational work with little direction, and answering to executives for its risk and tradeoffs An appreciation for distributed systems and properties beyond security, including reliability, efficiency, and maintainability Scaled a team and its systems together through hypergrowth, where last quarter's architecture was already too small Hands-on engineering in at least one of: platform security, secure boot and firmware, hardware roots of trust, confidential computing, or software supply chain integrity Threat modeling and risk assessment for systems that span hardware and software, with strong security judgment and pragmatism Comfortable leading through ambiguity with multiple partner teams and outside vendors, where you don't control the hardware or the schedule You may be a good fit if you have: At least 5+ years managing engineering teams and 8+ years hands-on in platform, infrastructure, or security engineering Built or operated remote attestation, device identity, or fleet-wide boot integrity at production scale Worked with BMCs, Redfish, GPU or accelerator attestation, or large-scale bare-metal provisioning Experience with Nitro, SEV-SNP, TDX, or similar confidential computing platforms Built signing, provenance, or transparency systems such as Sigstore, SLSA, or binary transparency Designed key management or offline ceremonies for high-value secrets Worked in high-assurance environments where controls had to be evidenced, not just deployed Taken infrastructure from zero to one and then to maturity: built the first version where nothing existed, then run and hardened it into a system other teams depend on Built or rebuilt a hiring loop and held the bar while adding headcount quickly Pragmatic and steady: cares about unblocking research, product and compute as much as a clean architecture, and brings patience and judgment to opinionated senior engineers Clear and persuasive communicator in writing and in person Familiarity with AI security and safety concepts The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

CA - San Francisco; WA - Seattle

The Staff Software Engineer, AI Developer Experience will lead the design, development, and operation of foundational AI platform systems, including the AI Gateway and model routing. This role involves establishing engineering standards, instrumenting AI economics for cost visibility, and partnering with internal teams to enhance developer tooling. The position requires a technical leader with expertise in distributed systems, AI-assisted development tools, and cloud infrastructure.

CA - San Francisco; WA - Seattle

The Senior Staff Software Engineer, AI Developer Experience will lead the technical direction and strategy for SoFi's AI Platform, focusing on interactive coding and underlying infrastructure. This role involves architecting solutions for AI economics, model routing, and evaluation platforms, while driving cross-group initiatives and ensuring operational excellence. The position requires a proven track record in technical leadership and hands-on experience with large-scale distributed systems and LLM-based architectures.