GPU Backend Compiler Engineer – Equity Options

NVIDIA Gruppe

Santa Clara (CA)

On-site

USD 108,000 - 195,000

Full time

4 days ago
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Benefits offered by this job

Equity
Benefits

Job summary

NVIDIA is seeking a Backend Compiler Engineer to join its GPU Software organization in Santa Clara. You will understand, modify, and improve a proprietary GPU compiler backend written in C++, focusing on register allocation passes and optimizations for top-tier performance.

You will collaborate with global compiler, hardware and application teams to drive improvements and solve complex issues, contributing to deep-learning compiler technology spanning architecture design and functional languages.

Qualifications

  • BS/MS/PhD or equivalent experience in CS/EE.
  • Experience with compiler code generation, preferably LLVM.
  • Proficient C++ programming skills.
  • Strong software engineering principles; robust and maintainable solutions.
  • Good communication and documentation skills.

Responsibilities

  • Understand, modify, and improve NVIDIA's proprietary GPU compiler backend written in C++.
  • Develop new register allocation passes and optimizations for robust performance.
  • Collaborate with global compiler, hardware and application teams to drive improvements and resolve problems.
  • Be part of a team central to deep-learning compiler technology spanning architecture design and support through functional languages.

Skills

C++ programming
Software engineering principles
Communication skills

Education

BS/MS/PhD in CS/EE

Tools

LLVM

Job description

NVIDIA is seeking a Backend Compiler Engineer to join its GPU Software organization in Santa Clara. You will understand, modify, and improve a proprietary GPU compiler backend written in C++, focusing on register allocation passes and optimizations for top-tier performance.

You will collaborate with global compiler, hardware and application teams to drive improvements and solve complex issues, contributing to deep-learning compiler technology spanning architecture design and functional languages.

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