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 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.
Find opportunities to improve user experience and library performance.

NVIDIA is widely considered one of the technology world’s most desirable employers.
Commitment to fostering a diverse work environment and proud to be an equal opportunity employer.
No discrimination on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.