Senior ASIC Front End Infrastructure Engineer

NVIDIA
United States
Workplace: OnsiteFull timeUSD 184,000 - 356,500 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 8+ yearsEducation: mastersSkills: ["Python","Perl","Make","Jenkins","AI","Containers","Distributed storage","Cloud","GPU","ASIC"]

Senior ASIC Infrastructure engineer responsible for delivering scalable tooling and environments for DV/RTL design of NVIDIA GPUs. Lead AI-enabled automation of infrastructure, optimize the GPU front-end build flow, maintain cutting-edge CI, and scale compute farms and cloud resources to support global hardware design teams and secure environments.

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FursaFursa
NVIDIA
NVIDIA
4 months ago

Senior ASIC Front End Infrastructure Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Senior ASIC Infrastructure engineer responsible for delivering scalable tooling and environments for DV/RTL design of NVIDIA GPUs. Lead AI-enabled automation of infrastructure, optimize the GPU front-end build flow, maintain cutting-edge CI, and scale compute farms and cloud resources to support global hardware design teams and secure environments.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •Deploy AI toolsets at scale in secure configurations for use by all HW Design teams
  • •Use ML/DL/AI techniques to automate Infrastructure work and improve Design team productivity
  • •Improve the speed, flexibility and extensibility of the GPU front end build flow
  • •Keep the GPU Continuous Integration system at the cutting edge of source management methodologies
  • •Guide compute farm, filer, and network topology requirements at cloud scale

Pay and Benefits

Salary: USD 184,000 - 356,500 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •Masters degree in Electrical Engineering, Computer Engineering, Computer Science or related or equivalent experience
  • •8+ years of relevant work experience
  • •Proficiency in Python, Perl, or other Systems Programming language. OO design preferred
  • •Experience using AI tools for development and automation
  • •Experience with Make based build systems in large, distributed computing environments
Experience:8+ yearsSemiconductorsHardware designGPUASIC
Education:Master's
Skills:PythonPerlMakeJenkinsAIContainersDistributed storageCloudGPUASIC
Tech Stack:PythonPerlMakeJenkinsAIContainersDistributed storageCloudGPUASIC

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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