Senior Compute Kernel Architect, GPU Power

NVIDIA
United States
Workplace: OnsiteFull timeUSD 184,000 - 287,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: mastersSkills: ["Communication","Problem-solving","Collaboration","Attention to detail","Analytical thinking"]

Design and optimize CUDA kernels focused on worst-case GPU power consumption, working at the intersection of GPU architecture, software, and silicon. You will develop power-stress workloads, validate PDN assumptions with hardware teams, and influence future GPU power architecture across pre- and post-silicon stages.

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FursaFursa
NVIDIA
NVIDIA
5 months ago

Senior Compute Kernel Architect, GPU Power

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Design and optimize CUDA kernels focused on worst-case GPU power consumption, working at the intersection of GPU architecture, software, and silicon. You will develop power-stress workloads, validate PDN assumptions with hardware teams, and influence future GPU power architecture across pre- and post-silicon stages.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Design and develop CUDA kernels purpose-built to enhance GPU power consumption — targeting worst-case current draw across compute, memory, and I/O subsystems
  • •Collaborate with hardware power architects to validate PDN assumptions, di/dt specs to appropriately target weak points
  • •Build and maintain a library of power stress microbenchmarks that sweep power profiles across GPU functional units — tensor cores, memory controllers, I/O interfaces — to stress PDN resonance and droop conditions across GPU families
  • •Analyze trade-offs between kernel throughput, power efficiency, and voltage stability, contributing insights that feed directly into future GPU architecture decisions
  • •Partner across teams — GPU architects, power circuit designers, silicon validation engineers — to ensure power stress methodologies are aligned from pre-silicon simulation through post-silicon bringup

Pay and Benefits

Salary: USD 184,000 - 287,500 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •MS or PhD in Computer Science, Electrical Engineering, or Computer Engineering (or equivalent experience)
  • •5+ years of experience in GPU kernel development, CUDA programming, or high-performance computing
  • •Strong CUDA and C++ programming skills, with hands-on experience writing and optimizing kernels at the assembly or PTX level
  • •Experience with GPU performance profiling tools — Nsight Compute, Nsight Systems, nvprof, or equivalent
  • •Solid understanding of GPU architecture—SMs, memory hierarchy, power states, and how they map to current draw profiles
Experience:5+ yearsGPUHigh-performance computingSemiconductorSilicon
Education:Master's
Skills:CommunicationProblem-solvingCollaborationAttention to detailAnalytical thinking
Tech Stack:CUDAC++Nsight ComputeNsight SystemsNvprofPython

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
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Glassdoor: 4.3
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