NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we're tapping into the unlimited potential of AI to define the next era of computing — an era in which our GPUs act as the brains of the computers, robots, and self-driving cars that understand the world. NVIDIA's Silicon Co-Design Group (SCG) is the team that gets every GPU, SoC, and CPU silicon program from first power-on to high-volume production. SCG sits at the crossroads of architecture, design, marketing, operations, and productization, and we architect innovative solutions for Datacenter, Server, Gaming, Robotics, Automotive, and Embedded markets.
We are hiring a Senior Silicon Power and Thermal Controllers Engineer to design, implement, and productize the power-performance and thermal-control mechanisms that ship inside every GPU, CPU, and SoC. This is not a pure firmware role, nor is it a generic power-analysis role — you live at the seam where silicon, firmware, platform, and software meet, and your controllers decide how much performance our products can sustain within their thermal and power envelopes. The exceptional hire uses AI deliberately to compress debug and modeling cycles, with the judgment to know where it accelerates real work and where it introduces risk.
What you'll be doing:
Design, implement, and tune silicon power and thermal controllers in close partnership with firmware, hardware, software, and design/power-architecture teams — from spec through productization.
Drive debug and resolution of power-limiting constraints, and deliver efficient, time-to-market product-specific customizations that unlock performance without compromising the thermal envelope.
Deliver system-level power optimizations spanning silicon, platform, software, and manufacturing — for products ranging from large-scale datacenter accelerators to low-power client devices.
Partner with the SCG Tools team to left-shift modeling, analysis, and test infrastructure — refine methodologies, sharpen procedures, and bring new closed-loop techniques into production.
Validate silicon power and thermal features across multi-functional teams from bring-up through production silicon, and be responsible for the WARs and productized fixes through to confirmation.
Translate complex power, thermal, and performance signals into decision-ready options that give leadership the clarity to act on POR, binning, and program-impacting risks.
Work alongside system architects, chip and board designers, software/firmware engineers, power-architecture engineers, Product Definition Engineers, and ATE engineers in a high-energy environment to bring industry-defining products to market.
What we need to see:
BS or MS in Electrical Engineering, Computer Engineering, Systems Engineering, or related field (or equivalent experience).
6+ years implementing power and thermal controllers in firmware for GPU, CPU, or SoC products.
Hands-on experience with system-level silicon bring-up and validation, DVFS, power characterization and modeling, performance analysis, and perf-per-watt optimization.
Background in implementing system-level features, thermal policies, and data-analysis and statistics workflows.
Solid understanding of digital design, circuit analysis, CPU/GPU/SoC architecture, PTPX, advanced process technologies, and transistor/device physics.
Demonstrated experience operating across globally distributed and offshore engineering teams.
Strong written and verbal communication; able to translate complex post-silicon signals into crisp, decision-ready options for executive leadership.
Ways to stand out from the crowd:
Background in gaming, automotive, or datacenter market segments — you know how the power-thermal trade space changes across those product classes.
Track record of shipping system-level perf-per-watt or thermal-policy features that measurably improved a product at scale.
Proficiency with AI productivity tools (Claude, Copilot, ChatGPT, or equivalent) applied to power debug, modeling, or analysis workflows — and a clear view of the outcome and the guardrails you put in place.
Comfort navigating ambiguity, building technical structure inside fast-moving silicon programs, and working with global teams from diverse cultural backgrounds.
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 or MS degree in Electrical Engineering, Computer Engineering, Systems Engineering, a related field, or equivalent experience
- 6 or more years implementing power and thermal controllers in firmware for GPU, CPU, or SoC products
- Hands-on experience with system-level silicon bring-up and validation
- Experience with DVFS, power characterization and modeling, performance analysis, and performance-per-watt optimization
- Experience implementing system-level features, thermal policies, and data-analysis and statistics workflows
- Understanding of digital design, circuit analysis, CPU/GPU/SoC architecture, PTPX, advanced process technologies, and transistor/device physics
- Experience operating across globally distributed and offshore engineering teams
- Strong written and verbal communication skills, including translating complex post-silicon signals into decision-ready options for executive leadership
- Background in gaming, automotive, or datacenter market segments
- Track record of shipping system-level performance-per-watt or thermal-policy features that improved products at scale
- Proficiency with AI productivity tools such as Claude, Copilot, ChatGPT, or equivalent applied to power debug, modeling, or analysis workflows
- Comfort navigating ambiguity and working with global teams from diverse cultural backgrounds
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.”






