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Key skills for this role
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 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.
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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.
Computing platform company for AI and accelerated graphics.
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Senior · 8+ years experience
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