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GPU后端编译器工程师

雇主

NVIDIA

地点

远程 · Austin · 美国

待遇

$面议

工作模式

远程

截止日期

1月6日

福利
Equity,Benefitsbenefits package,

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岗位摘要

Backend Compiler Engineer role focused on developing and optimizing NVIDIA's GPU compiler backend in

岗位职责

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 experience
• 3 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, TableGen, 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.

申请条件

B.S.
or degree in Computer Science/Engineering or equivalent experience.
3+ years of compiler code generation experience.
Excellent hands-on C++ programming skills.

雇主简介

NVIDIA is a technology company that designs GPUs and system-on-chip units for gaming, professional visualization, data centers, and automotive markets. The Physics Simulation Team focuses on physics simulation for robotics learning and evaluation.

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