Software Engineer developing and testing AI components for air traffic control expansion platform. Collaborating with cross - functional teams to enhance operational decision - making and system reliability.
About the role
- Senior Performance Software Engineer developing optimized code for deep learning libraries on NVIDIA GPUs. Utilizing C++ CUDA for core deep learning operations and collaborating across teams.
Responsibilities
- Writing highly tuned compute kernels, mostly in C++ CUDA, to perform core deep learning operations (e.g. matrix multiplies, convolutions, normalizations)
- Following general software engineering best practices including support for regression testing and CI/CD flows
- Collaborating with teams across NVIDIA: CUDA compiler team on generating optimal assembly code
- Deep learning training and inference performance teams on which layers require optimization
- Hardware and architecture teams on the programming model for new deep learning hardware features
Requirements
- Masters or PhD degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or related field
- 6+ years of relevant industry experience
- Demonstrated strong C++ programming and software design skills, including debugging, performance analysis, and test design
- Experience with performance-oriented parallel programming, even if it’s not on GPUs (e.g. with OpenMP or pthreads)
- Solid understanding of computer architecture and some experience with assembly programming
Benefits
- equity
- benefits
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