Senior DL Compiler Engineer -CUDA Tile

NVIDIA
Santa Clara, Austin, Redmond
Workplace: OnsiteFull timeUSD 152,000 - 241,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 3+ yearsEducation: bachelorsSkills: ["Independent work","Project scoping","Leadership","Debugging","Interpersonal skills","Team collaboration"]

Develop and optimize compiler transformations for CUDA Tile, NVIDIA’s tile-based GPU programming model. Design and implement MLIR-based dialects, lowering passes, and performance optimizations so tile-based kernels run efficiently across multiple generations of NVIDIA GPU architectures. Define public APIs, craft compiler techniques, and collaborate within a dynamic, product-oriented team to deliver major improvements to the deep learning software ecosystem.

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FursaFursa
NVIDIA
NVIDIA
5 days ago

Senior DL Compiler Engineer -CUDA Tile

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Develop and optimize compiler transformations for CUDA Tile, NVIDIA’s tile-based GPU programming model. Design and implement MLIR-based dialects, lowering passes, and performance optimizations so tile-based kernels run efficiently across multiple generations of NVIDIA GPU architectures. Define public APIs, craft compiler techniques, and collaborate within a dynamic, product-oriented team to deliver major improvements to the deep learning software ecosystem.
Location: Santa Clara, Austin, Redmond
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and implement compiler transformations for CUDA Tile’s tile-based GPU programming model.
  • •Develop MLIR-based dialects and lowering passes, including optimization passes for tile-based kernels.
  • •Optimize performance across multiple generations of NVIDIA GPU architectures.
  • •Define public APIs and implement compiler techniques and general software engineering work.
  • •Collaborate with a dynamic, product-oriented team to deliver improvements for the deep learning community.

Pay and Benefits

Salary: USD 152,000 - 241,500 annually
Equity and Bonus:Equity

Key Requirements

  • •Bachelors, Masters, or Ph.D. in Computer Science, Computer Engineering, or related field (or equivalent experience).
  • •3+ years of experience in compiler optimization, performance analysis, and IR design.
  • •Ability to work independently, define project goals and scope, and lead your own development effort.
  • •Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.
  • •Strong interpersonal skills and ability to work in a dynamic product-oriented team.
Experience:3+ yearsGPU computingCompiler optimizationPerformance analysisIR designDeep learning
Education:Bachelor's in Computer Science, Computer Engineering, or related field
Skills:Independent workProject scopingLeadershipDebuggingInterpersonal skillsTeam collaboration
Tech Stack:CUDA TileCUDACC++OpenCLMLIRLLVMXLATVMDeep learning

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
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