Deep Learning Performance Software Engineer

NVIDIA
China
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 3+ yearsSkills: ["Communication","Creativity","Autonomy","Teamwork"]

Build GPU-accelerated deep learning software by developing compilers and DSLs, designing highly optimized deep learning kernels, and improving compiler architecture for current and next-generation chips. You’ll run performance analysis on emerging AI workloads and integrate results with AI frameworks, collaborating in a fast-paced, customer-oriented R&D team with strong communication skills.

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FursaFursa
NVIDIA
NVIDIA
2 months ago

Deep Learning Performance Software Engineer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build GPU-accelerated deep learning software by developing compilers and DSLs, designing highly optimized deep learning kernels, and improving compiler architecture for current and next-generation chips. You’ll run performance analysis on emerging AI workloads and integrate results with AI frameworks, collaborating in a fast-paced, customer-oriented R&D team with strong communication skills.
Location: China
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop compilers and DSLs for deep learning workloads.
  • •Design and implement highly optimized deep learning kernels.
  • •Continuously improve compiler architecture for current and next-generation chips.
  • •Perform performance analysis on emerging AI workloads and integrate with AI frameworks.

Key Requirements

  • •Master's or Ph.D. degree (or equivalent experience) in a relevant discipline (CE, CS&E, CS, AI).
  • •Excellent C/C++ programming and software design skills.
  • •Experience with XLA, TVM, MLIR, LLVM, and deep learning models and algorithms.
  • •3+ years of relevant work experience.
Experience:3+ yearsDeep learningAIGPU computing
Education:
Skills:CommunicationCreativityAutonomyTeamwork
Tech Stack:CC++CompilersDSLsGPU-acceleratedDeep learningKernelsXLATVMMLIRLLVMAI frameworksPerformance analysis

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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