Santa Clara, CA · On-site
$143K - $189K/yr
Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high ... If you are passionate about designing abstractions for Tensor Core and related GPU hardware ...
Santa Clara, CA · On-site
$143K - $189K/yr
Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high ... If you are passionate about designing abstractions for Tensor Core and related GPU hardware ...
Austin, TX · On-site
$121K - $160K/yr
Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high ... If you are passionate about designing abstractions for Tensor Core and related GPU hardware ...
Austin, TX · On-site
$121K - $160K/yr
Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high ... If you are passionate about designing abstractions for Tensor Core and related GPU hardware ...
Redmond, WA · On-site
$137K - $180K/yr
Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high ... If you are passionate about designing abstractions for Tensor Core and related GPU hardware ...
Redmond, WA · On-site
$137K - $180K/yr
Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high ... If you are passionate about designing abstractions for Tensor Core and related GPU hardware ...
Santa Clara, CA · On-site
$143K - $189K/yr
We are looking for a Senior Software Engineer to join the cuEquivariance team - an NVIDIA library ... Build, implement, and optimize CUDA kernels for equivariant neural network primitives - tensor ...
Santa Clara, CA · On-site
$143K - $189K/yr
We are looking for a Senior Software Engineer to join the cuEquivariance team - an NVIDIA library ... Build, implement, and optimize CUDA kernels for equivariant neural network primitives - tensor ...
$143K - $189K/yr
We are looking for a Senior Software Engineer to join the cuEquivariance team - an NVIDIA library ... Build, implement, and optimize CUDA kernels for equivariant neural network primitives - tensor ...
$143K - $189K/yr
We are looking for a Senior Software Engineer to join the cuEquivariance team - an NVIDIA library ... Build, implement, and optimize CUDA kernels for equivariant neural network primitives - tensor ...
They are looking for a software engineer to help serve OpenAI's multimodal models at scale ... tensor parallelism, and hardware abstraction layers. Qualifications : Required : • Experience ...
They are looking for a software engineer to help serve OpenAI's multimodal models at scale ... tensor parallelism, and hardware abstraction layers. Qualifications : Required : • Experience ...
San Francisco, CA · On-site
$164K/yr
P-1285 About This Role As a staff software engineer for GenAI Performance and Kernel, you will own ... tensor fragmentation * Establish coding patterns, abstractions, and frameworks to modularize ...
San Francisco, CA · On-site
$164K/yr
P-1285 About This Role As a staff software engineer for GenAI Performance and Kernel, you will own ... tensor fragmentation * Establish coding patterns, abstractions, and frameworks to modularize ...
San Francisco, CA · On-site
$164K/yr
... tensor fragmentation • Establish coding patterns, abstractions, and frameworks to modularize ... blocking, software pipelining, vectorization, fusion, loop transformations, auto-tuning • ...
San Francisco, CA · On-site
$164K/yr
... tensor fragmentation • Establish coding patterns, abstractions, and frameworks to modularize ... blocking, software pipelining, vectorization, fusion, loop transformations, auto-tuning • ...
... CUTLASS, Tensor Cores, and Nsight for maximum performance • Work on Linux kernel internals ... xAI develops AI software and computational infrastructure designed for scientific discovery ...
... CUTLASS, Tensor Cores, and Nsight for maximum performance • Work on Linux kernel internals ... xAI develops AI software and computational infrastructure designed for scientific discovery ...
Bachelor's degree or equivalent practical experience. * 8 years of experience in software ... Focus on Tensor Processing Unit (TPU) fleet efficiency analysis and performance optimization, while ...
Bachelor's degree or equivalent practical experience. * 8 years of experience in software ... Focus on Tensor Processing Unit (TPU) fleet efficiency analysis and performance optimization, while ...
Mountain View, CA · On-site
$200K - $360K/yr
... tensor types that bridge ML frameworks to silicon. Work with chip-design and software teams driving DensityAI's AI accelerator program from first silicon through scale-out. What you'll do * Own MLIR ...
Quick apply
Mountain View, CA · On-site
$200K - $360K/yr
... tensor types that bridge ML frameworks to silicon. Work with chip-design and software teams driving DensityAI's AI accelerator program from first silicon through scale-out. What you'll do * Own MLIR ...
... tensor core acceleration, and compute/memory overlap • Implement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlap • Identify and resolve performance ...
... tensor core acceleration, and compute/memory overlap • Implement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlap • Identify and resolve performance ...
Santa Clara, CA · On-site
$143K - $189K/yr
Responsibilities : • Develop core components of the CUTLASS platform including Tensor Core MMAs ... and software design, including debugging, performance evaluation, and testing. • Experience ...
Santa Clara, CA · On-site
$143K - $189K/yr
Responsibilities : • Develop core components of the CUTLASS platform including Tensor Core MMAs ... and software design, including debugging, performance evaluation, and testing. • Experience ...
Santa Clara, CA · On-site
$143K - $189K/yr
... or tensor-core-aware algorithm build for scientific workloads as well as contributions to open-source MD simulation or GPU computing projects. Company : NVIDIA is a computing platform company ...
Santa Clara, CA · On-site
$143K - $189K/yr
... or tensor-core-aware algorithm build for scientific workloads as well as contributions to open-source MD simulation or GPU computing projects. Company : NVIDIA is a computing platform company ...
... and software teams to drive the AI accelerator program. Responsibilities : • Own MLIR dialect design and lowering passes for our AI accelerator -- defining the high-level tensor IR, async ...
... and software teams to drive the AI accelerator program. Responsibilities : • Own MLIR dialect design and lowering passes for our AI accelerator -- defining the high-level tensor IR, async ...
Mountain View, CA · On-site
$200K - $360K/yr
... tensor types that bridge ML frameworks to silicon. Work with chip-design and software teams driving DensityAI's AI accelerator program from first silicon through scale-out. What you'll do * Own MLIR ...
Mountain View, CA · On-site
$200K - $360K/yr
... tensor types that bridge ML frameworks to silicon. Work with chip-design and software teams driving DensityAI's AI accelerator program from first silicon through scale-out. What you'll do * Own MLIR ...
... tensor types that bridge ML frameworks to silicon. Work with chip-design and software teams driving DensityAI's AI accelerator program from first silicon through scale-out. What you'll do * Own MLIR ...
... tensor types that bridge ML frameworks to silicon. Work with chip-design and software teams driving DensityAI's AI accelerator program from first silicon through scale-out. What you'll do * Own MLIR ...
Santa Clara, CA · On-site
$143K - $189K/yr
... tensor parallelism, or memory-efficient scheduling). • Proficient programming ability with modern C++ (C++11/14/17 and beyond). • Familiarity with popular LLM frameworks and libraries such as ...
Santa Clara, CA · On-site
$143K - $189K/yr
... tensor parallelism, or memory-efficient scheduling). • Proficient programming ability with modern C++ (C++11/14/17 and beyond). • Familiarity with popular LLM frameworks and libraries such as ...
San Francisco, CA · On-site
$190K - $232K/yr
P-1285 About This Role As a staff software engineer for GenAI Performance and Kernel, you will own ... tensor fragmentation * Establish coding patterns, abstractions, and frameworks to modularize ...
San Francisco, CA · On-site
$190K - $232K/yr
P-1285 About This Role As a staff software engineer for GenAI Performance and Kernel, you will own ... tensor fragmentation * Establish coding patterns, abstractions, and frameworks to modularize ...
Santa Clara, CA · On-site
$143K - $189K/yr
... tensor/expert/pipeline-parallelism, prefill-decode disaggregation. * Develop, optimize, and ... software products. What we need to see: * Bachelor's degree (or equivalent expeience) in Computer ...
Santa Clara, CA · On-site
$143K - $189K/yr
... tensor/expert/pipeline-parallelism, prefill-decode disaggregation. * Develop, optimize, and ... software products. What we need to see: * Bachelor's degree (or equivalent expeience) in Computer ...
$143K - $189K/yr
Full-time
Posted 9 days ago
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.
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.
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.
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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Computer and electronic product manufacturing
10,000+ Employees
Santa Clara, CA, US
1993
