Senior Software Engineer, CUTLASS Kernels

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's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance linear algebra and Tensor Core primitives. Since 2017, it has provided the community with C++ and Python abstractions to implement custom matrix multiply (GEMM) and related math and deep learning computations on NVIDIA GPUs.

What you'll get to do:

• Write Tensor Core‑based deep learning kernels such as grouped‑GEMM, attention, and convolution using CUTLASS CUDA C++ and Python DSL for Blackwell, Rubin, and future architectures.
• Optimize kernels for peak throughput on both silicon and software performance simulators.
• Collaborate with teams across NVIDIA including the GPU architecture, NVVM/PTX compiler, CUDA library, and DL frameworks teams to ensure fast, functional, and timely kernel delivery to customers.

What we need to see:

• Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience).
• 3+ years of relevant industry experience.
• Strong proficiency in C++ programming and software design, including debugging, performance evaluation, and testing.
• Experience with CUDA, OpenCL, HIP, SYCL, Mojo, Pallas, Triton, Mosaic, Halide, or any general‑purpose or domain‑specific programming language targeting highly parallel accelerators.
• Deep understanding of computer architecture and some experience working at the assembly level.

Ways to stand out from the crowd:

• Experience writing code specifically targeting NVIDIA Tensor Cores, particularly through PTX or CUDA/cuTile.
• Open‑source contributions to math kernel libraries or frameworks.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward‑thinking and hard working people in the world working for us. If you’re creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real‑time, cost‑effective computing platform driving our success in this exciting and quickly growing field.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 5, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.