Senior GPU Functional Modeling Architect

NVIDIA
United States
Workplace: RemoteFull timeUSD 152,000 - 287,500 annuallyFunction: Software EngineeringExperience: 5+ yearsSkills: ["Problem-solving","Debugging","Communication","Interpersonal skills","Collaboration"]

Enable functional simulation platforms across GPU generations by modeling GPU architecture and baseboard components. You’ll work with a distributed set of architects and modeling teams to design and build tools that analyze, simulate, validate, and verify functional and performance models. Develop tests, test plans, and testing infrastructure for new architectures and features, and use AI to support day-to-day modeling workflows.

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FursaFursa
NVIDIA
NVIDIA
6 months ago

Senior GPU Functional Modeling Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Enable functional simulation platforms across GPU generations by modeling GPU architecture and baseboard components. You’ll work with a distributed set of architects and modeling teams to design and build tools that analyze, simulate, validate, and verify functional and performance models. Develop tests, test plans, and testing infrastructure for new architectures and features, and use AI to support day-to-day modeling workflows.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Model GPU architecture, baseboard components, and other features for functional simulation.
  • •Work across GPU architecture modeling teams to design and develop tools to analyze, simulate, validate, and verify models.
  • •Develop testing strategy including tests, test plans, and testing infrastructure for new architectures and features.
  • •Use and extend functional and performance simulation models across NVIDIA and iterate on modeling features.
  • •Improve and expand the simulation platform and related resources to support future GPU architectures.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually
Equity and Bonus:Equity

Key Requirements

  • •BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or related field, with 5+ years in related areas.
  • •Proficient programming skills in C++, C, and scripting languages such as Python or Perl.
  • •Solid background in Computer Architecture with experience in modeling (System C & TLM preferred).
  • •Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and LangChain.
  • •Strong problem-solving and debugging skills, with the ability to drive issues to closure and collaborate effectively in distributed teams.
Experience:5+ yearsComputer graphicsAISimulationDeep learningGPU architecture
Skills:Problem-solvingDebuggingCommunicationInterpersonal skillsCollaboration
Tech Stack:C++CPythonPerlSystem CTLMPyTorchTensorFlowLangChain

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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