NVIDIA

1 month ago

Senior Software Engineer, CUTLASS Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Join NVIDIA's CUTLASS team to advance high-performance GPU kernels and Tensor Core abstractions. You will develop core platform components in CUDA C++ and CUTLASS Python DSL, influence the MLIR-based backend for the Python DSL, and author example kernels. Collaborate with GPU architecture and compiler teams to shape future hardware features and programming models.

Location: Santa Clara, Austin, Durham, Redmond

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•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.

Pay and Benefits

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•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.

Experience:3+ yearsHigh-performance computingGPUAIDeep learning

Education:Master's

Skills:CommunicationProblem-solving

Tech Stack:CUDAC++PythonMLIRNVVMPTXCUTLASS

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 month ago

Senior Software Engineer, CUTLASS Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Santa Clara, Austin, Durham, Redmond

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•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.

Pay and Benefits

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•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.

Experience:3+ yearsHigh-performance computingGPUAIDeep learning

Education:Master's

Skills:CommunicationProblem-solving

Tech Stack:CUDAC++PythonMLIRNVVMPTXCUTLASS

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor