NVIDIA

Technology

CompilerOptimizationEngineer-LLVM

Bengaluru, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“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.

Technology
Problems you'll solve

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

Free ATS check

Applying for this Compiler Optimization Engineer - LLVM role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about NVIDIA?

Real rants from real employees. Read before you apply.

Read Company Rants →