NVIDIA builds the accelerated computing platforms that train and run the world's largest AI models. Whether a chip sustains its target frequency and lifetime — after every power, thermal, and reliability margin is paid — decides how much real performance reaches the datacenter!
We are the Silicon Co-Design Group. We are hiring a Senior Speed and Reliability Codesign Engineer to build speed and reliability features into the silicon and to prove, against real silicon, that they deliver. We own the codesign space where architecture, design, and manufacturing meet, and we make the whole system perform. If this sounds like something you want to do, read on!
What you'll be doing:
Build out speed and reliability features from on-chip building blocks — on-die clocking, droop detection, and aging monitors — that protect frequency and lifetime without spending extra power or margin.
Own design-to-silicon correlation. Tie pre-silicon predictions — VF curve, Vmin and Vmax, timing and aging margins — to measured silicon, and feed the gaps back to design.
Verify the codesign. Prove each feature holds across voltage, temperature, process, and aging corners before tapeout — verification is part of how we design, not a later step.
Use AI as a force multiplier. Build AI-driven flows for correlation, data analysis, and verification that compress cycle time and catch issues earlier.
Drive decisions across the silicon-to-system boundary. Surface where a feature trades frequency or lifetime against power, yield, or area, and bring the data that settles the call.
Collaborate with architecture, VLSI, ASIC, firmware, and product teams to bring next-generation products to market.
What we need to see:
BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
10+ years in silicon design, performance, timing, or post-silicon speed validation, with hands-on depth in both timing and real silicon.
A track record of taking features from concept through silicon validation, with measured results.
Comfortable working both sides of the boundary — enough design depth to build, and enough data fluency to correlate against silicon. Familiarity with silicon margining and guard-banding is essential.
Cross-functional influence, with a demonstrated ability to align architecture, design, and manufacturing without direct reporting authority.
Excellent problem solving, partnership, and interpersonal skills.
Ways to stand out from the crowd:
Closed the loop between predictions and silicon results, with a correlation methodology other teams adopted
Designed or integrated on-die sensors/actuators (droop detectors, aging monitors, adaptive clocking, telemetry)
Datacenter-scale or high-performance silicon experience
Applied ML or data-driven techniques to silicon performance, reliability modeling, or design-space exploration
Patents, publications, or standards contributions in silicon performance or reliability
Our team is at the forefront of silicon innovation, advancing groundbreaking technologies. We offer a dynamic work environment where your contributions will directly impact the company's success. Join us to advance your career in a role where you can truly make a difference. With competitive salaries and a generous benefits package, we are widely considered one of the technology industry’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
#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
- BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
- 10+ years in silicon design, performance, timing, or post-silicon speed validation with hands-on depth in timing and real silicon.
- Track record of taking features from concept through silicon validation with measured results.
- Design depth to build and data fluency to correlate against silicon; familiarity with silicon margining and guard-banding.
- Experience driving cross-functional alignment across architecture, design, and manufacturing without direct authority.
- Excellent problem solving, partnership, and interpersonal skills.
- Designed or integrated on-die sensors/actuators (droop detectors, aging monitors, adaptive clocking, telemetry).
- Datacenter-scale or high-performance silicon experience.
- Applied ML or data-driven techniques to silicon performance, reliability modeling, or design-space exploration.
- Patents, publications, or standards contributions in silicon performance or reliability.
- Closed the loop between predictions and silicon with a correlation methodology adopted by other teams.
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.”
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