Systems Software Engineer — CUDA & AI for GPU Systems (Equity)
NVIDIA AI
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Benefits offered by this job
Job summary
NVIDIA AI is seeking a highly skilled researcher to develop advanced computational methods for semiconductor manufacturing and design. You will leverage GPU acceleration and CUDA to create scalable, distributed software solutions that accelerate yield and time to market.
Candidates should have an MS or PhD in CS/EE with strong AI/ML expertise, plus proven experience in parallel programming and low-level performance optimization to push the boundaries of semiconductor software.
Qualifications
- MS or PhD in Computer Science or Computer Engineering with experience in complex software for semiconductor fabrication.
- Proficiency in AI/ML techniques, low-level performance optimization, and parallel programming.
Responsibilities
- Develop advanced computational methods for semiconductor manufacturing and design to accelerate yield and time to market.
- Utilize GPU acceleration and CUDA to implement scalable, distributed software solutions.
Skills
Education
Tools
Job description
NVIDIA AI is seeking a highly skilled researcher to develop advanced computational methods for semiconductor manufacturing and design. You will leverage GPU acceleration and CUDA to create scalable, distributed software solutions that accelerate yield and time to market.
Candidates should have an MS or PhD in CS/EE with strong AI/ML expertise, plus proven experience in parallel programming and low-level performance optimization to push the boundaries of semiconductor software.
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