Senior CUDA Software Engineer — GPU Compute (Equity)

NVIDIA AI; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara, CA seeks senior engineers to advance the CUDA driver, a core GPU computing component. Join a versatile team delivering features across kernel mode components, compilers, and networking software to unlock NVIDIA hardware performance for diverse workloads.

You’ll work across hardware architects, DL researchers, and partners, contributing to software innovations that shape GPU compute. This role emphasizes system-level design, collaboration, and high-quality code.

Qualifications

• BS/MS in Computer Science, Electrical Engineering or related field (or equivalent experience).
• 5+ years of experience in developing systems software.
• Strong C programming skills.
• Experience with OS interfaces for threads, processes and virtual memory.
• Experience with HW/SW co-design and performance modeling.

Responsibilities

• Evangelize, architect, and implement new CUDA features.
• Coordinate and drive development across multiple teams.
• Collaborate with hardware architecture teams.
• Define forward-looking improvements to CUDA APIs and programming model.
• Build and maintain performance and precision modeling.
• Write effective, maintainable, and well-tested code.
• Develop code for multiple operating systems.

Skills

C programming

System software

OS interfaces

Hardware/software co-design

Performance modeling

Interconnects & memory hierarchy

Communication skills

Education

Bachelor’s or Master’s degree in CS/EE

Job description

NVIDIA in Santa Clara, CA seeks senior engineers to advance the CUDA driver, a core GPU computing component. Join a versatile team delivering features across kernel mode components, compilers, and networking software to unlock NVIDIA hardware performance for diverse workloads.

You’ll work across hardware architects, DL researchers, and partners, contributing to software innovations that shape GPU compute. This role emphasizes system-level design, collaboration, and high-quality code.