GPU System Performance Architect

NVIDIA
Santa Clara, Boulder
Full timeUSD 224,000 - 356,500 annuallyFunction: Hardware, Embedded & Systems EngineeringExperience: 10+ yearsSkills: ["Communication","Organizational","Interpersonal","Teamwork"]

Design and develop next-generation GPU-accelerated computing systems. You’ll create processor and system architectures, evaluate performance/cost/efficiency trade-offs using analytical models, simulators, and visualization tools, and analyze hardware-software interactions in large-scale data center deployments. Collaborate across software, product, and business teams to guide GPU-accelerated cloud computing direction, with emphasis on data center/cloud design, performance modeling, and PCIe/IO-centric workload optimization.

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FursaFursa
NVIDIA
NVIDIA
5 days ago

GPU System Performance Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Design and develop next-generation GPU-accelerated computing systems. You’ll create processor and system architectures, evaluate performance/cost/efficiency trade-offs using analytical models, simulators, and visualization tools, and analyze hardware-software interactions in large-scale data center deployments. Collaborate across software, product, and business teams to guide GPU-accelerated cloud computing direction, with emphasis on data center/cloud design, performance modeling, and PCIe/IO-centric workload optimization.
Location: Santa Clara, Boulder
Employment Type: Full time
Job Function: Hardware, Embedded & Systems Engineering

Key Responsibilities

  • •Develop innovative processor and system architectures for GPU-accelerated cloud computing.
  • •Analyze performance, cost, and efficiency trade-offs using analytical models, simulators, and data visualization tools.
  • •Analyze hardware-software interactions in large-scale data center deployments of GPU-accelerated systems.
  • •Collaborate across the company to guide the direction of GPU-accelerated cloud computing with software, product, and business teams.
  • •Support performance modeling, characterization, and optimization of PCIe and IO-centric workloads.

Pay and Benefits

Salary: USD 224,000 - 356,500 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •Master’s or PhD in a relevant discipline (e.g., Computer Science, Electrical Engineering, Computer Engineering) or equivalent experience, with 10 years of relevant work or research experience.
  • •Strong mathematical and analytical skills and deep knowledge of computer architecture.
  • •Experience building analytical performance models, simulators, profiling, and conducting performance analysis.
  • •Experience analyzing interactions between hardware and software in large-scale data center deployments of GPU-accelerated systems.
  • •Strong communication, organizational, and interpersonal skills with a passion for teamwork.
Experience:10+ years
Education:
Skills:CommunicationOrganizationalInterpersonalTeamwork
Tech Stack:GPU computingParallel programming modelsPCIeIOSimulatorsProfilingData visualization

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
Glassdoor
Glassdoor: 4.3
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