Position Details
About this role
This role involves developing and optimizing CUDA kernels for high-performance image processing in semiconductor inspection systems, utilizing GPU acceleration and profiling tools.
Key Responsibilities
- Implement CUDA kernels
- Optimize GPU image operations
- Profile and tune performance
- Collaborate with algorithm teams
- Support high-efficiency image processing
Technical Overview
Focus on GPU programming with CUDA, implementing image processing algorithms, and performance optimization using profiling tools like Nsight.
Ideal Candidate
The ideal candidate is a senior GPU software engineer experienced in CUDA programming and image processing techniques. They should be skilled in performance profiling and tuning CUDA kernels for high-efficiency image operations.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
No CUDA or GPU experience, Lack of experience with CUDA profiling tools, Unwillingness to work in Milpitas, CA
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