Senior Libraries Engineer – AI and HPC

NVIDIA is a technology company working on GPU and CPU accelerated data processing software libraries such as DALI and nvImageCodec that power AI, data analytics, image processing, computer vision, and scientific simulations for leading commercial and academic organizations worldwide.

• PhD or MSc degree in Computational Science, Computer Science, Applied Math, or related field preferred (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
• Proficient programming skills in C/C++
• Proven experience in leading and completing software development projects
• Strong collaboration, communication, and documentation skills

Nice to have:

• Knowledge of CPU and/or GPU hardware architecture
• Experience with CI/CD systems and project management tools such as JIRA
• Experience working in distributed organizations
• 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
• Collaborating with leadership and partners to understand feature and performance requirements
• Providing technical leadership and guidance to library engineers
• Identifying opportunities to improve user experience and library performance

NVIDIA is an equal opportunity employer and values diversity in its workforce. They do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, veteran status, disability status, or any other protected characteristic by law.