Senior Libraries Engineer – AI, HPC
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Job Description
Senior Libraries Engineer developing GPU- and CPU-accelerated libraries for AI, image processing, and scientific computing at NVIDIA. Optimizing algorithms and leading library engineering projects.
Responsibilities:
- Develop scalable library software using modern tools and languages for numerical methods
- Tune performance, optimize, and benchmark algorithms on various architectures
- Work with leadership and internal and external partners to understand feature and performance requirements
- Contribute to technical roadmaps of libraries
- Provide technical leadership and guidance to library engineers
- Identify opportunities to improve user experience and library performance
Requirements:
- PhD or MSc degree in Computational Science, Computer Science, Applied Math, or related science or engineering field preferred, or equivalent experience
- 5+ years of experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms
- GPU acceleration using CUDA
- C/C++ programming and software development skills
- Proven experience leading and completing software development projects
- Strong collaboration, communication, and documentation habits
- Good knowledge of CPU and/or GPU hardware architecture
- Experience with CI/CD systems
- Experience with project management tools such as JIRA
- Experience working in a distributed organization
- Debugging, profiling, and testing skills for accuracy and performance
- Fluency with Python
Benefits:
- Equal opportunity employment and commitment to a diverse work environment
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