Senior Software Engineer, CUTLASS Platform

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is looking to hire an innovative engineer for its CUTLASS team in Santa Clara, California. You will develop core components for high-performance linear algebra using C++ and collaborate with GPU architecture teams. A Masters or PhD degree in Computer Science, along with 3+ years of industry experience is required.

Work on advancing MLIR-based backend compiler stack, showcasing novel GPU features with high-performance kernels. NVIDIA offers a competitive salary with equity and benefits, promoting an inclusive workplace.

Qualifications

• 3+ years of relevant industry experience.
• Experience with high-performance code generation and compiler transformations.
• Deep understanding of computer architecture and parallel computing.

Responsibilities

• Develop core components of the CUTLASS platform.
• Contribute to MLIR-based backend compiler stack for CUTLASS Python DSL.
• Collaborate with GPU architecture and compiler teams.

Skills

C++ programming

Software design

Debugging

Performance evaluation

Testing

Education

Masters or PhD in Computer Science or related field

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.

If you are passionate about designing abstractions for Tensor Core and related GPU hardware features in MLIR, Python, and C++ that enable writing high performance kernels, apply to join the CUTLASS team today!

What you'll be doing:

• Develop core components of the CUTLASS platform including Tensor Core MMAs, copies, synchronization barriers, schedulers, and other GPU hardware features in CUDA C++ and CUTLASS Python DSL.
• Contribute to the advancement of the MLIR-based backend compiler stack for the CUTLASS Python DSL by designing dialects and associated compiler passes.
• Author example kernels utilizing CUTLASS abstractions to showcase the use of novel GPU hardware features that are crucial for achieving high performance.
• Collaborate with GPU architecture, CUDA, and NVVM/PTX compiler teams to provide feedback on programming models and to assess the performance of future GPU hardware features.

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 working with high-performance code generation and knowledge of compiler transformations and optimizations.
• A deep understanding of computer architecture and parallel computing programming models.

Ways to stand out from the crowd:

• Experience writing high-performance kernels at low levels of abstractions like NVVM/ PTX for GPUs or other similar parallel processing architectures.
• Hands-on compiler design experience, particularly in MLIR.
• Understanding of deep learning models, algorithms, and frameworks.

Our 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.

Employees will also be eligible for equity and benefits.

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.