Requirements:

PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience)
5+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA
C/C++ programming and software development skills
Proven experience in leading and completing software development projects
Strong collaboration, communication, and documentation habits

Nice to Haves:

Good knowledge of CPU and/or GPU hardware architecture
Experience with software development practices such as CI/CD systems and project management tools such as JIRA
Experience with working in a distributed organization
Debugging, profiling, and testing skills for accuracy and performance
Fluency with Python

Developing scalable library software using modern tools and languages for various numerical methods
Performance tuning, optimization, and benchmarking of algorithms on various architectures
Working closely with the leadership team and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries
Providing technical leadership and guidance to library engineers working with you
Finding opportunities to improve user experience and library performance

NVIDIA is widely considered to be one of the technology world’s most desirable employers
Commitment to fostering a diverse work environment
Equal opportunity employer with no discrimination based on various characteristics