NVIDIA Logo

NVIDIA

Principal System Power Management and Performance Architect

Reposted One Month Ago
Be an Early Applicant
Hybrid
Austin, TX
232K-368K Annually
Expert/Leader
Hybrid
Austin, TX
232K-368K Annually
Expert/Leader
Owns multi-generation system power and performance architecture for datacenter and high-performance platforms. Defines HSIO power management, DVFS, P-state, low-power, boot, initialization, reset, and recovery strategies across silicon, firmware, ASIC, board, and platform teams. Drives rack-scale power telemetry and platform coordination, diagnoses system-level performance and power issues, and influences roadmap and product decisions through silicon correlation and release. The role requires deep technical ownership, cross-functional authority, and experience delivering architectures across multiple silicon generations.
The summary above was generated by AI

NVIDIA builds the silicon behind AI, accelerated computing, and graphics. Every watt of performance and every degree of thermal headroom traces back to decisions made in power, performance, and thermal architecture. We are the Silicon Co-Design Group (SCG). We identify, own, and drive system-level co-design ideas. We start with initial concepts and advance to product differentiation across NVIDIA's roadmap.

We are hiring a Principal System Power Management and Performance Architect who operates at the ambiguous boundary where workload behavior, silicon capabilities, firmware policies, and platform constraints collide, and who turns that ambiguity into architecture that survives across multiple silicon generations. SCG scope spans architecture, design, software, operations, platforms, and productization. This role shapes system, platform, and data center features and behavior, and partners with teams across NVIDIA.

What You'll Be Doing:

The work here is rarely well-defined when it arrives. You will be given problems that appear to be performance gaps or power anomalies and encouraged to build a framework for solving them, not just tackle a single instance.

  • Define the multi-generation roadmap for system-level power and performance features, grounded in prototyping, use-case analysis, and cost/benefit trade-offs across segments. You will decide what problems are worth solving and why.

  • Own the architecture and integration strategy for HSIO power management, DVFS, P-states, and low-power features. Your decisions improve product performance, power, and reliability across product lines — not just the current program.

  • Lead system-level boot and IST architecture defining how power and clock domains initialize, sequence, and recover across complex multi-IP systems where the interaction space is large and the failure modes matter.

  • Drive power management strategy at datacenter scale, including rack-level power telemetry and platform state coordination in high-performance environments.

  • Identify and redesign system-level processes that break under new product requirements—boot/reset flows, low-power entry/exit sequences, and control-system policies across IPs. When a prior design no longer holds, you diagnose why and architect what comes next.

  • Serve as the multi-functional technical authority across architecture, ASIC, board/platform, and firmware teams. You improve the power-performance trade-offs by influencing decisions made by teams you do not control.

What We Need to See:

We are calibrating for candidates who can carry ambiguous product-level power and performance problems from concept through silicon correlation to release trade-off, and who can show the work!

  • BS or MS in EE/CE, or equivalent experience proven through the work itself

  • 15+ years of system architecture, development, and validation experience with a strong focus on power and performance-per-watt optimization in datacenter or high-performance platforms.

  • A verifiable history of guiding architecture decisions that shipped across multiple silicon programs. Be ready to walk through a case where you challenged a roadmap direction, explain your reasoning from first principles, and describe what changed.

  • Extensive knowledge of HSIO power management, DVFS, P-states, system boot flows, and low-power entry/exit architecture, including how they interact with IP, firmware, and platform layers. The expectation is not pattern-matching to prior solutions; it is knowing why the design space is built the way it is.

  • Strong fundamentals in low-power design, power management techniques, and rack-level performance architecture.

Ways to stand out from the crowd:

We are not looking for breadth of exposure. We are looking for depth of ownership in areas where the design space is hard, and the artifacts prove it!

  • Practical, hands-on depth in at least two of the following: Preference is given to candidates who have debugged these features in silicon and then architected the next-generation solution in any of the two areas: system power management, robust boot flow optimizations, HSIO, and memory power management.

  • A power management architecture or methodology you introduced that survived multiple silicon generations and was adopted beyond your immediate team. We want to understand the original problem, why prior approaches failed, how you structured the solution, and what the adoption path looked like.

  • A demonstrated AI/agentic workflow practice: Not just tool use, but a disciplined approach to compressing engineering velocity with AI while applying strong judgment to validate and refine results. Be prepared to describe where you've found AI dangerous, not just useful.

  • Visible technical leadership through patents, publications, conference presentations, standards participation, or broader industry recognition for work that influenced products, roadmaps, or engineering practice.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 

#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 232,000 USD - 368,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 27, 2026.

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.

HQ

NVIDIA Seattle, Washington, USA Office

4545 Roosevelt Way NE 6th Floor, Seattle, Washington, United States, 98105

NVIDIA Bellevue, Washington, USA Office

Bellevue, United States

NVIDIA Redmond, Washington, USA Office

Redmond, United States

Similar Jobs

3 Minutes Ago
In-Office
Entry level
Entry level
Hardware • Other • Appliances
Troubleshoots and repairs complex mechanical and electrical assemblies at the component level. Uses electronic test equipment and analyzes software, test, protocol, and script logs to diagnose failures, determine repair or retest actions, and validate equipment functionality. Provides technical guidance, collaborates with engineers on process improvements, assists with process equipment installation and validation, and follows safety procedures on second shift.
Top Skills: Electrical AssembliesElectronic Test EquipmentMechanical AssembliesProcess EquipmentProtocol LogsScript LogsSoftware LogsTest Logs
3 Minutes Ago
In-Office
Mid level
Mid level
Hardware • Other • Appliances
Performs product inspections, process and quality audits, first article inspections, receiving inspections, calibration, and statistical quality analysis. Reviews engineering documentation, validates tooling and gauges, maintains calibration records, investigates root causes, supports corrective actions, manages factory holds and scrap disposition, and prepares quality reports. Ensures raw materials, in-process work, and finished products meet company standards, while supporting ESD, safety, customer implementation, and quality system requirements.
Top Skills: CalipersElectrostatic Discharge (Esd)Height GaugesMicrometersQuality Management SystemsStatistical Process Control (Spc)
6 Minutes Ago
Hybrid
Senior level
Senior level
Financial Services
Leads software engineering for secure, scalable banking technology products. Designs, develops, tests, reviews, debugs, and troubleshoots production code using Python, Java, Spring, and AWS. Drives automation, CI/CD, application resiliency, security, and operational stability. Promotes responsible AI-assisted development practices, evaluates vendor technologies, coaches engineers, and leads communities of practice.
Top Skills: AdfsAgileAlbAWSBitbucketCi/CdEcsEksElasticacheGitGitIamJ2EeJavaJava 17JenkinsJIRAKerberosMavenNlbOauth2PythonRdsRestful Web ServicesS3Secrets ManagerSpring BootSpring FrameworkSpring MvcSqsTerraformVpc

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account