Role at a glance
- Salary
- $320K – $488.8K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 18+ years of relevant industry and/or academic experience.
- Education
- MSEE, MSCE, or PhD or equivalent experience
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Role Summary
The Distinguished Engineer, Power Architecture, will join NVIDIA’s Applied Power Architecture team to define long-term power architecture strategy across datacenter GPUs, GeForce and client products, automotive, robotics, and edge-AI systems. The role focuses on advancing perf/watt through cross-portfolio architecture, modeling, silicon decisions, and system-level power management.
What You'll Do
- Set multi-generation, cross-portfolio power strategy.
- Own perf/watt across server-, client-, and edge-class platforms.
- Drive performance-versus-power analysis that influences silicon trade-offs and product roadmap decisions.
- Lead silicon and vendor/IP co-architecture.
- Architect thermal and system-level power management end-to-end.
- Drive ML- and workload-aware modeling and post-silicon optimization.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Significant impact in Electrical Engineering, Computer Engineering, Computer Science, or a related field; ownership of power architecture across several successful silicon generations; expertise in low-power and energy-efficient design techniques; understanding of GPU, CPU, accelerator, interconnect, memory, system, OS, runtime, firmware, and workload layers; experience developing power and performance modeling methods, metrics, and tools; experience architecting power solutions with internal teams and external partners.
Required
- MSEE, MSCE, or PhD or equivalent experience demonstrating significant impact in Electrical Engineering, Computer Engineering, Computer...
- 18+ years of relevant industry and/or academic experience.
- Ownership of power architecture across several successful silicon generations.
- Deep, applied expertise in the full stack of low-power and energy-efficient design techniques.
- Authoritative understanding of modern GPU, CPU, and accelerator architectures; high-speed interconnects; memory subsystems; and system,...
- Experience developing and implementing power and performance modeling methods, metrics, and tools used across an engineering organization.
- Experience defining requirements with and architecting power solutions across internal silicon teams and external silicon, IP, foundry,...
Preferred
- Power and thermal architecture for a leading GPU, AI accelerator, mobile SoC, automotive SoC, robotics SoC, or large-scale server SoC...
- Model-to-hardware co-optimization for perception, ML, or graphics workloads on power- and thermally-constrained platforms.
- Co-designing silicon with platform-level power delivery and cooling, including rack- and row-scale liquid or immersion cooling or...
- Published research or production work applying ML to power/performance modeling, workload characterization, or DVFS/AVFS strategies at...
- Roots in RTL, microarchitecture, or backend implementation, with experience mentoring engineers into Principal- and Distinguished-level...
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Join NVIDIA's Applied Power Architecture team and help define the perf/watt standards of our innovative silicon and systems across many domains. As a Distinguished Engineer, Power Architecture, you'll develop the long-term technical strategy for power architecture. This includes datacenter GPUs, GeForce and client products, automotive (DRIVE), robotics (Jetson, Isaac), and the broader edge-AI portfolio. This role suits a recognized expert who has personally crafted the power architecture of multiple successful silicon generations and is ready to lead the next decade of perf/watt advancement at NVIDIA. This is your chance to join a company that continually expands the possibilities of technology and innovation!
What you'll be doing:
Set multi-generation, cross-portfolio power strategy.
Own perf/watt across server-, client-, and edge-class platforms.
Drive performance-versus-power analysis that influences major silicon trade-offs and product roadmap decisions.
Lead silicon and vendor/IP co-architecture.
Define new technology frontiers.
Architect thermal and system-level power management end-to-end.
Drive ML- and workload-aware modeling and post-silicon optimization.
Influence across the company and the industry.
Develop the next generation of technical leaders.
Generate sustained IP and intellectual contribution.
What we need to see:
MSEE, MSCE, or PhD or equivalent experience demonstrating significant impact in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
18+ years of relevant industry and/or academic experience.
Demonstrated ownership of power architecture across several successful silicon generations—server-class, client/mobile-class, or thermally-constrained SoC platforms. Took personal responsibility for decisions that significantly developed product outcomes.
Deep, applied expertise in the full stack of low-power and energy-efficient design techniques.
Authoritative understanding of modern GPU, CPU, and accelerator architectures; high-speed interconnects (NVLink, PCIe, Ethernet, optical, automotive networks); memory subsystems (HBM, LPDDR, on-die SRAM); and the system, OS, runtime, firmware, and workload layers that determine real-world perf/watt.
Proven history of developing and implementing power and performance modeling methods, important metrics, and tools widely used across the engineering organization. This includes projections before silicon creation and detailed validation after silicon production.
Demonstrated experience defining requirements with — and architecting power solutions across — internal silicon teams and external silicon, IP, foundry, or packaging partners.
Ways to stand out from the crowd:
Own the architecture for power and thermal development in a leading GPU, AI accelerator, mobile SoC, automotive SoC, robotics SoC, or large-scale server SoC with significant shipment volume.
Experience driving model-to-hardware co-optimization for perception, ML, or graphics workloads on power- and thermally-constrained platforms.
Background co-designing silicon with platform-level power delivery and cooling. This ranges from rack- and row-scale liquid or immersion cooling at the datacenter end. It also includes passively cooled and battery-constrained envelopes at the edge.
Published research or production work applying ML to power/performance modeling, workload characterization, or DVFS/AVFS strategies at scale.
Deep roots in RTL, microarchitecture, or backend implementation that allow you to operate fluently from architectural intent down to build realization with history of mentoring engineers into Principal- and Distinguished-level roles, and of building durable technical communities in power, performance, or architecture.
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 a diverse 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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.