Senior CUDA Kernel Engineer, CUTLASS & Tensor Core

Nvidia Corporation; Santa Clara (CA); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity opportunities

Comprehensive benefits package

Job summary

Nvidia Corporation in Santa Clara is seeking a skilled software engineer to develop Tensor Core-based deep learning kernels using CUDA. You will optimize these kernels for performance and collaborate with various teams to deliver high-quality solutions.

The ideal candidate holds a Master's or PhD in Computer Science or a related field and has at least 3 years of industry experience along with strong C++ skills. Additional experience with CUDA and understanding of computer architecture will be highly valued. Nvidia offers an inclusive environment with competitive salaries and benefits.

Qualifications

• 3+ years of relevant industry experience.
• Strong proficiency in C++ programming and software design.
• Deep understanding of computer architecture.

Responsibilities

• Write Tensor Core‑based deep learning kernels.
• Optimize kernels for peak throughput on performance simulators.
• Collaborate with teams across NVIDIA.

Skills

C++ programming

Software design

Debugging

Performance evaluation

CUDA

Computer architecture

Deep Learning

Assembly language

Education

Masters or PhD in Computer Science, Computer Engineering, or related field

Tools

CUDA

OpenCL

Triton

Mojo

Pallas

Job description

Nvidia Corporation in Santa Clara is seeking a skilled software engineer to develop Tensor Core-based deep learning kernels using CUDA. You will optimize these kernels for performance and collaborate with various teams to deliver high-quality solutions.

The ideal candidate holds a Master's or PhD in Computer Science or a related field and has at least 3 years of industry experience along with strong C++ skills. Additional experience with CUDA and understanding of computer architecture will be highly valued. Nvidia offers an inclusive environment with competitive salaries and benefits.