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Senior Compiler Optimization Engineer – LLVM
Actively Reviewing
NVIDIA
Job Description
We are looking to hire a Senior 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
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 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.
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What You'll Be Doing
- Be part of NVIDIA re-targetable GPU compiler backend team
- 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 working with industry experts in each field.
- Solve unique problems seen only in a compiling for massively parallel GPU architecture.
- Get a chance to influence and work on new GPU architectures.
- B.S. or higher degree in Computer Science/Engineering
- Proficient in compiler design with 8+ years of experience
- Strong background in program analysis and high level optimizations
- Excellent C and C++ programming skills
- Hands on experience in compiler infrastructures like LLVM/GCC
- Good understanding of processor architecture
- Experience in a working in a global team
- Self-motivated to get things done
- Good communication skills with ability to influence others
- Masters or PhD preferred
- Demonstrated ability to pursue complex optimization problems
- Experience in Scheduling/Register Allocation
- Experience in developing CUDA, DirectX, OpenGL/Vulkan applications
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 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.
, , JR2014377
Required Skills
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