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.Skills Required
- Bachelor’s, master’s, or doctoral degree in Electrical Engineering, Computer Engineering, or equivalent experience
- At least 6 years of circuit design experience
- Experience with Perl, Python, or Shell scripting languages
- Strong understanding of SRAM and memory design techniques
- Experience with macro or block development
- Self-motivation and attention to detail
- Clear data analysis and presentation skills
- Familiarity with Cadence Virtuoso for schematic and layout
- Familiarity with SPICE simulators and waveform viewers
- Experience with Static Timing Analysis, EM and IR analysis, and Formal Functional Verification flows
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
