Senior LLVM Compiler Engineer at NVIDIA

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

0.0

Posted On

09 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

LLVM, Compiler Optimizations, Register Allocation, Instruction Scheduling, Synchronization, Loop Optimizations, C++, C, GPU Architectures, Deep Learning, Ray Tracing, HPC, CUDA, DirectX, OpenGL, Vulkan

Industry

Computer Hardware Manufacturing

Description

We are looking for a Senior LLVM Compiler Engineer for an exciting role developing compilers for our world leading GPUs. We craft outstanding compilers that unlock the full potential of NVIDIA GPU hardware for growing range of computational workloads, ranging from next generate graphics, deep learning, scientific computing, and self-driving. 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: You will be part of NVIDIA re-targetable GPU compiler backend team Contribute to compiler optimizations to produce best-in-class, robust, supportable compiler and tools 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 collaborating with industry experts in each field. 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, or equivalent experience Strong background in compiler area, with 5+ years of compiler optimization experience Excellent C and C++ programming skills Hands on experience in compiler infrastructures like LLVM/GCC Good understanding of processor architecture Self-motivated with good communication skills Experience in working in a global team Ways to stand out from the crowd: Masters or PhD preferred, with 8+ years of relevant experience Demonstrated ability to pursue complex optimization problems Proficient in building and using modern AI tools 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 is 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. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

The engineer will join the re-targetable GPU compiler backend team to contribute to compiler optimizations, aiming to produce best-in-class, robust, and supportable compilers and tools. This involves working on complex problems like register allocation and instruction scheduling, and developing solutions to optimize workloads in Deep Learning, Ray Tracing, and HPC.