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

What you’ll be doing:

• 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

Perks and Benefits:

• 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