Senior SRAM Engineer, Circuit Design at NVIDIA USA in US, CA, Santa Clara | US, TX, Austin | US, TX, Remote | US, CA, Remote focuses on We are now looking for a Senior SRAM Engineer within our Full Custom Memory (FCM) team!. The FCM team designs specialized RAM implementations across NVIDIAs wide array of processing chips.
We are now looking for a Senior SRAM Engineer within our Full Custom Memory (FCM) team!
The FCM team designs specialized RAM implementations across NVIDIAs wide array of processing chips. Be it high speed, low power, multiport, we engage closely with processor architecture teams to build custom solutions across the entire NVIDIA silicon portfolio. Are you interested in designing circuits for the next generation of AI chips? Join a team of dedicated engineers developing the custom SRAM circuits that help power these chips.
What you'll be doing:
- Design best-in-class SRAM circuits using state-of-the-art technology processes
- Optimize circuits for performance, area, and power
- Collaborate with mask designers to craft high quality and dense pitch-matched layout
- Verify functionality, electrical integrity, and robustness
- Improve/develop flows and methodologies to streamline design automation, data collection, and analysis to ensure working silicon
What we need to see:
- BS/MS/PhD (or equivalent experience) in Electrical or Computer Engineering
- Minimum 6 years of circuit design experience
- Experience with scripting languages - Perl, Python, Shell
- Strong understanding of SRAM and memory design techniques and macro/block development
Ways to stand out from the crowd:
- Self-motivation, attention to detail, clear data analysis and presentation skills
- Familiarity with industry tools such as Cadence Virtuoso for schematic and layout, SPICE simulators, waveform viewers
- Background with developing and using various flows and methodologies, including: Static Timing Analysis, EM and IR analysis, Formal Functional Verification
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice, join our diverse team today!
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.