GPU Architecture Engineer - New College Grad 2026

NVIDIA
Santa Clara, Austin, Durham
Workplace: OnsiteFull timeUSD 124,000 - 195,500 annuallyFunction: Architecture & Urban PlanningEducation: phdSkills: ["Innovation","Autonomy","Creativity"]

Develop and enhance GPU architecture features, including GPU architecture simulators, testing infrastructure, and performance/functional validation tools. Model future GPU graphics and parallel processing architectures using C++ and Python, create test plans, and debug tests on architecture simulators. Bring deep computer architecture and parallel programming knowledge, with opportunities to leverage machine learning, graphics algorithms, signal processing, CUDA, and graphics APIs.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

GPU Architecture Engineer - New College Grad 2026

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Develop and enhance GPU architecture features, including GPU architecture simulators, testing infrastructure, and performance/functional validation tools. Model future GPU graphics and parallel processing architectures using C++ and Python, create test plans, and debug tests on architecture simulators. Bring deep computer architecture and parallel programming knowledge, with opportunities to leverage machine learning, graphics algorithms, signal processing, CUDA, and graphics APIs.
Location: Santa Clara, Austin, Durham
Workplace: Onsite
Employment Type: Full time
Job Function: Architecture & Urban Planning
Seniority: Entry level

Key Responsibilities

  • •Advance GPU architecture simulators, GPU testing infrastructure, and associated metrics.
  • •Model and understand future GPU graphics and parallel processing architecture features in C++ and Python.
  • •Create test plans and build/extend testing infrastructure.
  • •Debug tests on architecture simulators to validate GPU architecture behavior.
  • •Develop tools to validate performance models and verify functional models.

Pay and Benefits

Salary: USD 124,000 - 195,500 annually
Equity and Bonus:Equity
Perks:Health InsuranceBenefits

Key Requirements

  • •Pursue or have recently completed an MS or PhD (or equivalent experience) in CS, EE, math, or a related discipline.
  • •Strong programming ability in C, C++, and Python.
  • •Deep knowledge of computer architecture and parallel programming.
  • •Develop test plans and testing infrastructure for GPU architecture features.
  • •Understand/model features for future GPU graphics and parallel processing architectures using C++ and Python.
Experience:Machine learningDeep learningComputer graphicsParallel computing
Education:PhD / Doctorate in CS, EE, math, or related discipline
Skills:InnovationAutonomyCreativity
Tech Stack:CC++PythonCUDADXVulkan

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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