Lead GPU-Accelerated Libraries Engineer for AI & HPC

NVIDIA; Remote; USD 59,000 - 136,000; Full time

Job summary

A leading technology company based in the United States is seeking a talented individual to join their team in developing GPU and CPU accelerated data processing software libraries. The role requires expertise in C/C++ programming, experience with high-performance applications, and a strong educational background in computational science or related fields. Candidates with a passion for innovation and collaboration are encouraged to apply. This role contributes to cutting-edge projects in AI and data analytics.

Qualifications

• 5+ years experience with GPU acceleration using CUDA.
• Proven experience in leading software development projects.
• Strong documentation habits.

Responsibilities

• Develop scalable library software using modern tools.
• Performance tuning and optimization.
• Support technical roadmaps of libraries.

Skills

C/C++ programming

High-performance parallel computing

Performance optimization

Collaboration

Communication

Education

PhD or MSc in Computational Science, Computer Science

Tools

CUDA

JIRA

Job description

A leading technology company based in the United States is seeking a talented individual to join their team in developing GPU and CPU accelerated data processing software libraries. The role requires expertise in C/C++ programming, experience with high-performance applications, and a strong educational background in computational science or related fields. Candidates with a passion for innovation and collaboration are encouraged to apply. This role contributes to cutting-edge projects in AI and data analytics.