Senior Compiler Optimization Engineer – LLVM

Reposted 5 Days Ago
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2 Locations
In-Office
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves developing compilers for NVIDIA GPUs, working on optimization problems, collaborating with a distributed team, and influencing new GPU architectures.
Summary Generated by Built In

We are looking to hire a Senior LLVM Compiler Engineer for an exciting role developing compilers for our world leading GPUs. We craft outstanding compilers that realize the potential of NVIDIA GPU hardware for growing range of computational workloads, ranging from next generate graphics, deep learning, scientific computing, and self-driving cars. Our compiler organization makes its mark on every GPU and SoC product that NVIDIA builds. Would you like to be part of this best-in-class organization and lead the charge?

What you'll be doing:

  • Be part of NVIDIA re-targetable GPU compiler backend team

  • Work on challenging problems in register allocation, instruction scheduling, synchronization, loop optimizations etc.

  • Develop innovative solutions to optimize workloads in Deep Learning, Ray Tracing, HPC etc. by working with industry experts in each field.

  • Solve unique problems seen only in a compiling for massively parallel GPU architecture.

  • Get a chance to influence and work on new GPU architectures.

What we need to see:

  • B.S. or higher degree in Computer Science/Engineering

  • Proficient in compiler design with 8+ years of experience

  • Strong background in program analysis and high level optimizations

  • Excellent C and C++ programming skills

  • Hands on experience in compiler infrastructures like LLVM/GCC

  • Good understanding of processor architecture

  • Experience in a working in a global team

  • Self-motivated to get things done

  • Good communication skills with ability to influence others

Ways to stand out from the crowd:

  • Masters or PhD preferred

  • Demonstrated ability to pursue complex optimization problems

  • Experience in Scheduling/Register Allocation

  • Experience in developing CUDA, DirectX, OpenGL/Vulkan applications

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are creative and autonomous, we want to hear from you.

NVIDIA is committed to developing a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • B.S. or higher degree in Computer Science/Engineering with compiler work
  • Excellent C and C++ programming skills
  • At least 2 years experience in compiler development

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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