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GPU Backend Compiler Engineer

Job in Santa Clara, Santa Clara County, California, 95052, USA
Listing for: Nvidia
Full Time position
Listed on 2026-10-09
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, C++ Developer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 152000 - 241500 USD Yearly USD 152000.00 241500.00 YEAR
Job Description & How to Apply Below
We are searching for a Backend Compiler Engineer for an exciting and fun role in our GPU Software organization. Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler engineering experts who provide leading edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures.

What you will be doing:

Understand, modify, and improve an NVIDIA proprietary GPU compiler backend written in C++Design and develop new compiler passes and optimizations to produce best-in-class, robust, supportable compiler and tools

Work with global compiler, hardware and application teams to oversee improvements and problem resolutions

Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through functional languages

What we need to see:

B.S. or degree in Computer Science/Engineering or equivalent experience3+ years of compiler code generation experience

Excellent hands-on C++ programming skills

Strong background in software engineering principles with a focus on crafting robust and maintainable solutions to challenging problems

Good communication and documentation skills and self-motivated

Ways to stand out from the crowd:

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, Table Gen, LLVM IR, and Machine IR (MIR)
Experience in developing CUDA, DirectX, OpenGL/Vulkan applications NVIDIA's invention of the GPU 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, we are increasingly known as “the AI computing company”.With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Deep Learning, Artificial Intelligence, Autonomous Vehicles, Virtual Reality, etc.

Our diverse team of talented, capable, and professional people are our greatest asset! If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 9, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Summary

Location:

US, TX, Austin; US, TX, Remote; US, OR, Remote; US, CA, Remote; US, WA, Redmond; US, CA, Santa Clara Type:
Full time
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