NVIDIA
Technology
CompilerOptimizationEngineer-LLVM
Neural analysis suggests this role is
optimal for Mid candidates.
“Compiler Optimization Engineer - LLVM at NVIDIA. Skills: Compiler Optimization, LLVM, C++. Develop innovative solutions that optimize workloads in Deep Learning, Ray Tracing, and HPC. Work on challenging problems in register allocation, instruction scheduling, synchronization, loop optimizations etc.”
Industry & Context.
Excellent analytical and logical skills to solve the most complex problems
What They're Looking For.
Must Have
B. S. or higher degree in Computer Science/Engineering with significant compiler related project or thesis work, Excellent C and C++ programming skills, At least 2 years experience in compiler support and development in compiler infrastructures like LLVM/GCC, Excellent analytical and logical skills to solve the most complex problems, Ability to quickly pick up and learn new domains and skills
Nice to Have
Masters with 5+ years of relevant experience, Experience developing CUDA, DirectX, OpenGL/Vulkan applications, Hands on experience in using and building AI tools
What You'll Do.
Develop innovative solutions that optimize workloads in Deep Learning
Work on challenging problems in register allocation
instruction scheduling
loop optimizations etc.
Influence and work on new GPU architectures
How You'll Work.
Team & Collaboration
Work with a distributed team; Collaborate with industry experts in each field
Full Job Description
We are looking to hire a 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 with a distributed team to develop innovative solutions that optimize workloads in Deep Learning, Ray Tracing, and HPC. Collaborate with industry experts in each field. * Work on challenging problems in register allocation, instruction scheduling, synchronization, loop optimizations etc. * 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 with significant compiler related project or thesis work * Excellent C and C++ programming skills, * At least 2 years experience in compiler support and development in compiler infrastructures like LLVM/GCC * Excellent analytical and logical skills to solve the most complex problems * Ability to quickly pick up and learn new domains and skills **Ways to stand out from the crowd:** * Masters with 5+ years of relevant experience * Experience developing CUDA, DirectX, OpenGL/Vulkan applications * Hands on experience in using and building AI tools. 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
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