Senior Libraries Engineer – AI and HPC

Join NVIDIA's multidisciplinary team as a Senior Libraries Engineer – AI and HPC. You will design, develop, and optimize pioneering algorithms for GPU and CPU accelerated data processing software libraries, including projects like DALI and nvImageCodec.

Responsibilities:

• Develop scalable library software using modern tools and languages for various numerical methods.
• Performance tune, optimize, and benchmark algorithms on various architectures.
• Collaborate with the leadership team and internal/external partners to understand feature and performance requirements.
• Provide technical leadership and guidance to library engineers.
• Identify opportunities to improve user experience and library performance.

Requirements:

• PhD or MSc's degree in Computational Science, Computer Science, Applied Math, or a related field (or equivalent experience).
• 5+ years of 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.

Preferred qualifications:

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