NVIDIA's Silicon Co-design Group (SCG) sits at a rare intersection: we own the full product development lifecycle, from early architecture definition through silicon bringup to product release. Our ArchDev team is the hub for silicon and system-level feature development, driving tradeoff analysis, system integration, and POR alignment across the entire organization. If you want to see your work go from whiteboard to world-class silicon, this is where that happens.
What You'll Be Doing:
Architect and integrate system-level performance and power management features, controllers, and policies to optimize product efficiency across datacenter and client products.
Build feature roadmaps to address low-power, low-noise, and performance-per-watt product needs through prototyping, use-case analysis, and cost/benefit trade-offs.
Partner with architecture, ASIC, board/platform, software/firmware, and marketing teams to drive design decisions and debug complex issues.
Track industry trends and market needs and translate them into forward-looking roadmaps that keep NVIDIA's products ahead of the curve.
Lead debug efforts, develop workarounds, and support bringup, validation, manufacturing, and customer escalations.
Utilize AI-driven techniques to enhance performance prediction models and power management strategies.
What We Need to See:
BS pr MS in EE/CE (or equivalent experience).
8+ years of experience with a strong focus of performance and power management on one or two of below areas that optimize power for perf-per-watt efficiency in datacenter or client systems: DVFS, power gating, clock policy, sequencing, throttling, control systems, boot/reset.
Strong EE fundamentals on digital design, low power design, DVFS, control systems, power management techniques, timing, and architecture.
Knowledge of PVT dependencies, binning methodologies, and VF characterization.
Solid understanding of firmware/driver structures and HW/SW interaction with different IPs, including their impact on power, latency, and reliability.
Hands-on lab experience (oscilloscopes, multimeters, logic analyzers) and silicon bringup exposure are a bonus.
Programming proficiency in C/C++, Python, or Perl in Windows/Linux environments.
Strong problem-solving, collaboration, and communication skills.
Leverage AI to perform advanced optimization accelerate analysis, workflows, generate and review scripts, synthesize technical documentation, and explore solution spaces faster.
Utilize machine learning algorithms to predict power consumption and performance based on workload characteristics.
Implement AI-driven tools for automating data collection and analysis during validation and characterization phases.
Explore creative ways to integrate AI insights into continuous improvement of power and performance metrics.
Ways to Stand Out from the Crowd:
Demonstrated cross-functional leadership — experience driving alignment across architecture, silicon, firmware, and software teams on complex, ambiguous problems.
System-level intuition — the ability to reason about power and performance holistically, not just at the block level, and to translate architectural tradeoffs into clear engineering decisions.
Published research or patents in power management or related fields.
Experience with modeling and simulation tools for performance validation at scale and familiarity with the latest advancements in AI and their applications in power and performance optimization.
Contributions to open-source projects or communities in low-power design methodologies.
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!
Skills Required
- BS or MS in Electrical Engineering or Computer Engineering or equivalent experience
- 8+ years of experience in performance and power management
- Strong fundamentals in digital design and low power design
- Knowledge of DVFS, control systems, and power management techniques
- Firmware and hardware/software interaction experience
- Lab experience with electronics testing equipment
- Proficiency in programming in Windows/Linux
- Hands-on experience with AI-driven tools
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.”
