NVIDIA

2 days ago

Senior Compiler Optimization Engineer - MLIR

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Work on NVIDIA’s Compute Compiler Team to improve CUDA and other compute compilers for AI, scientific, and autonomous workloads. Analyze GPU application performance using profiling tools, identify optimization opportunities in the MLIR/LLVM middle-end, and design new compiler passes to deliver best-in-class, robust performance. Collaborate with distributed compiler, hardware, and application teams and integrate with the open-source LLVM community.

Location: Redmond, Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Analyze performance of application code running on NVIDIA GPUs using profiling tools.
•Identify opportunities for performance improvements in the MLIR/LLVM based compiler middle-end optimizer.
•Identify and implement novel ideas in the compilation pipeline to improve AI workload performance.
•Design and develop new compiler passes and optimizations to produce best-in-class, robust, supportable tools.
•Collaborate with geographically distributed compiler, hardware, and application teams and coordinate with the open-source LLVM community.

Pay and Benefits

Salary: USD 184,000 - 287,500 annually

Equity and Bonus:Equity

Key Requirements

•B.S, M.S, or Ph.D. in Computer Science, Computer Engineering, or a related field (or equivalent experience).
•8+ years of experience in compiler optimizations such as loop, inter-procedural, and global optimizations.
•Excellent hands-on C++ programming skills.
•Understanding of any Processor ISA (GPU ISA would be a plus).
•Strong software engineering principles focused on robust, maintainable solutions.

Experience:8+ yearsComputer graphicsAccelerated computingGPU computingSystems softwareAI workloadsDeep learning

Education:

Skills:CommunicationDocumentationSelf-motivated

Tech Stack:C++MLIRLLVMClangCUDAOpen-source LLVM

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: 4.3

Website LinkedIn Glassdoor

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NVIDIA

2 days ago

Senior Compiler Optimization Engineer - MLIR

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Redmond, Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Analyze performance of application code running on NVIDIA GPUs using profiling tools.
•Identify opportunities for performance improvements in the MLIR/LLVM based compiler middle-end optimizer.
•Identify and implement novel ideas in the compilation pipeline to improve AI workload performance.
•Design and develop new compiler passes and optimizations to produce best-in-class, robust, supportable tools.
•Collaborate with geographically distributed compiler, hardware, and application teams and coordinate with the open-source LLVM community.

Pay and Benefits

Salary: USD 184,000 - 287,500 annually

Equity and Bonus:Equity

Key Requirements

•B.S, M.S, or Ph.D. in Computer Science, Computer Engineering, or a related field (or equivalent experience).
•8+ years of experience in compiler optimizations such as loop, inter-procedural, and global optimizations.
•Excellent hands-on C++ programming skills.
•Understanding of any Processor ISA (GPU ISA would be a plus).
•Strong software engineering principles focused on robust, maintainable solutions.

Experience:8+ yearsComputer graphicsAccelerated computingGPU computingSystems softwareAI workloadsDeep learning

Education:

Skills:CommunicationDocumentationSelf-motivated

Tech Stack:C++MLIRLLVMClangCUDAOpen-source LLVM

Company Brief

NVIDIA

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: 4.3

Website LinkedIn Glassdoor