GPU Backend Compiler Engineer

Nvidia

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Austin, TXTXORCARedmond, WASanta Clara, CA
Employment: Full-time
Posted: 22 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

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At a glance

TL;DR · GPU Backend Compiler Engineer

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The GPU Backend Compiler Engineer joins the GPU Software organization's Compiler team to construct and emit high-performance GPU machine instructions for Graphics and Compute. This role involves understanding, modifying, and improving a proprietary GPU compiler backend written in C++. You will design and develop new compiler passes and optimizations to produce robust tools and supportable compiler outputs. Key responsibilities include collaborating with global hardware and application teams to resolve problems and oversee improvements. The position requires expertise in C++ programming, software engineering principles, and compiler code generation. Relevant technical skills include LLVM code generation, instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, and Machine IR. The work focuses on deep-learning compiler technology spanning architecture design through functional languages for complex parallel SIMT architectures.

Skills

C++ LLVM CUDA Vulkan OpenGL DirectX PTX OpenCL Fortran TableGen GlobalISel LLVM IR Machine IR Instruction Scheduling Software Pipelining Register Allocation Deep Learning SIMT

What you'll do

Understand, modify, and improve a proprietary GPU compiler backend written in C++.
Design and develop new compiler passes and optimizations for high-performance machine instructions.
Produce robust and supportable compiler tools for Graphics and Compute workloads.
Oversee improvements and problem resolutions with global hardware and application teams.
Develop code generation for architectures supporting CUDA, PTX, OpenCL, and Fortran.
Implement optimizations such as instruction scheduling, software pipelining, and register allocation.
Support deep-learning compiler technology across architecture design and functional languages.

What we're looking for

B.S. or degree in Computer Science/Engineering or equivalent experience.
3+ years of compiler code generation experience.
Excellent hands-on C++ programming skills.
Strong background in software engineering principles for crafting robust and maintainable solutions.
Good communication and documentation skills and self-motivated.
M.S./PhD. with significant compiler related project or thesis work (preferred).
Background in LLVM code generation including instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, and Machine IR (MIR) (preferred).
Experience in developing CUDA, DirectX, OpenGL/Vulkan applications (preferred).