
This role involves designing, developing, and optimizing GPU-accelerated libraries and algorithms for AMD
THE ROLE:
AMD is looking for a strategic software engineering lead who is passionate about improving the performance of key applications and benchmarks. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology. The software engineer will support our open-source, GPU-accelerated libraries of algorithms and collectives, rocPRIM, hipCUB, rocThrust, rocRAND, and hipRAND (), part of the AMD ROCm Software.
THE PERSON:
The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD. You are accustomed to working in a dynamic, geographically distributed agile team, where partnership and collaboration are paramount.
KEY RESPONSIBILITIES:
- Work with AMD’s architecture specialists to improve future products
- Apply a data minded approach to target optimization efforts
- Stay informed of software and hardware trends and innovations, especially pertaining to algorithms and architecture
- Design and develop new groundbreaking AMD technologies
- Participating in new ASIC and hardware bring ups
- Implement, optimize and support GPU-accelerated collectives and algorithms
- Debugging/fix existing issues and research alternative, more efficient ways to accomplish the same work
- Use Agentic AI to enhance productivity, automate workflows, and improve operational efficiency
- Work with key technical experts across AMD and with our partners and customers to improve ROCm applications, libraries, and tools
PREFERRED EXPERIENCE:
- Strong object-oriented programming background, with over 15 years of C++ experience
- Ability to write high quality code with a keen attention to detail
- Experience with GPU software development using HIP, CUDA, or OpenCL
- Hands-on experience using AI tools to support software development and scientific applications
- Understanding of CPU and GPU architectures and low-level optimization techniques including assembly programming and/or vectorization
- Experience with Linux and Windows operating system development
- In-depth knowledge of best-practices in software development, including testing, profiling, debugging, documentation, version control, issue tracking, and planning
- Effective communication and problem-solving skills
- Motivating leader with good interpersonal skills
ACADEMIC CREDENTIALS:
- Bachelor’s or Master's degree in Computer Science, Software Engineering, Electrical Engineering, Applied Mathematics or equivalent
- Advanced degrees, such as M.Sc., M.Eng., Ph.D. are preferred
LOCATION:
- Canada or Europe region
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