Hillsboro, OR · On-site
$133K - $175K/yr
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 ...
Hillsboro, OR · On-site
$133K - $175K/yr
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 ...
Santa Clara, CA · On-site
$143K - $189K/yr
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 ...
Santa Clara, CA · On-site
$143K - $189K/yr
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 ...
Durham, NC · On-site
$118K - $156K/yr
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 ...
Durham, NC · On-site
$118K - $156K/yr
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 ...
Durham, NC · On-site
$118K - $156K/yr
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 ...
Durham, NC · On-site
$118K - $156K/yr
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 ...
Mountain View, CA · On-site
$180K - $320K/yr
About the role Own verification of our AI compute core - tensor pipelines, MAC arrays, accumulator logic, and the compute ↔ memory interconnect. Work with chip-design and software teams driving ...
Quick apply
Mountain View, CA · On-site
$180K - $320K/yr
About the role Own verification of our AI compute core - tensor pipelines, MAC arrays, accumulator logic, and the compute ↔ memory interconnect. Work with chip-design and software teams driving ...
Austin, TX · On-site
$121K - $160K/yr
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 ...
Austin, TX · On-site
$121K - $160K/yr
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 ...
Redmond, WA · On-site
$137K - $180K/yr
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 ...
Redmond, WA · On-site
$137K - $180K/yr
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 ...
Austin, TX · On-site
$121K - $160K/yr
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 ...
Austin, TX · On-site
$121K - $160K/yr
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 ...
Mountain View, CA · On-site
$180K - $320K/yr
About the role Own verification of our AI compute core - tensor pipelines, MAC arrays, accumulator logic, and the compute ↔ memory interconnect. Work with chip-design and software teams driving ...
Mountain View, CA · On-site
$180K - $320K/yr
About the role Own verification of our AI compute core - tensor pipelines, MAC arrays, accumulator logic, and the compute ↔ memory interconnect. Work with chip-design and software teams driving ...
Santa Clara, CA · On-site
$143K - $189K/yr
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 ...
Santa Clara, CA · On-site
$143K - $189K/yr
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 ...
Redmond, WA · On-site
$137K - $180K/yr
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 ...
Redmond, WA · On-site
$137K - $180K/yr
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 ...
California, MO · On-site
$140 - $210/hr
Tensor RT * Llama.cpp * VLLM #J-18808-Ljbffr
California, MO · On-site
$140 - $210/hr
Tensor RT * Llama.cpp * VLLM #J-18808-Ljbffr
... 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 ...
Austin, TX · Remote
$143K/yr
Low-level GPU knowledge of PTX, SASS, warps, cooperative groups, Tensor Cores, and the memory hierarchy * Debugging and optimization experience using tools like CUDA GDB, NSight Systems, NSight ...
Quick apply
Austin, TX · Remote
$143K/yr
Low-level GPU knowledge of PTX, SASS, warps, cooperative groups, Tensor Cores, and the memory hierarchy * Debugging and optimization experience using tools like CUDA GDB, NSight Systems, NSight ...
San Jose, CA · On-site
$75K - $300K/yr
A leading automotive technology firm in San Jose is seeking an experienced professional for a production management role. Responsibilities include supervising manufacturing activities and managing ...
San Jose, CA · On-site
$75K - $300K/yr
A leading automotive technology firm in San Jose is seeking an experienced professional for a production management role. Responsibilities include supervising manufacturing activities and managing ...
Develop, refine, and validate high-efficiency quantum circuit simulators, including state-vector, tensor-network, and stabilizer workflows. * Implement noise-aware simulations informed by real-world ...
Develop, refine, and validate high-efficiency quantum circuit simulators, including state-vector, tensor-network, and stabilizer workflows. * Implement noise-aware simulations informed by real-world ...
... 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 ...
Redwood City, CA · On-site
$251K/yr
This is deep performance work: fused kernels, tensor cores, Triton and CUDA, distributed multi-node deployment. It fits someone with expert GPU-optimization skills and a deep understanding of ...
New
Redwood City, CA · On-site
$251K/yr
This is deep performance work: fused kernels, tensor cores, Triton and CUDA, distributed multi-node deployment. It fits someone with expert GPU-optimization skills and a deep understanding of ...
New
... tensor parallelism, and hardware abstraction layers. Qualifications : Required : • Experience building and scaling inference systems for LLMs or multimodal models. • Worked with GPU-based ML ...
... tensor parallelism, and hardware abstraction layers. Qualifications : Required : • Experience building and scaling inference systems for LLMs or multimodal models. • Worked with GPU-based ML ...
Sunnyvale, CA · On-site
$132 - $189/hr
You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries ...
Sunnyvale, CA · On-site
$132 - $189/hr
You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries ...
$46K - $64K
1% of jobs
$64K - $81.9K
2% of jobs
$81.9K - $99.9K
4% of jobs
$99.9K - $117.8K
9% of jobs
$133.1K is the 25th percentile. Wages below this are outliers.
$117.8K - $135.8K
11% of jobs
$135.8K - $153.7K
7% of jobs
The median wage is $159.5K / yr.
$153.7K - $171.7K
50% of jobs
$171.7K - $189.6K
2% of jobs
$189.6K - $207.6K
1% of jobs
$207.6K - $225.5K
0% of jobs
$225.5K - $243.5K
13% of jobs
$46K
$165K
$243.5K
A Tensor job typically refers to a role involving tensors, which are mathematical objects used in machine learning, AI, and scientific computing. These jobs often require expertise in deep learning frameworks like TensorFlow or PyTorch, where tensors represent multi-dimensional arrays for data processing. A Tensor job can involve designing and optimizing neural networks, performing large-scale data analysis, or working with high-performance computing.
| Aspect | Tensor | Data Scientist |
|---|---|---|
| Required Credentials | Knowledge of machine learning, programming skills, often a degree in computer science or related fields | Degree in statistics, computer science, or related fields; strong analytical skills |
| Work Environment | Tech companies, AI research labs, software development teams | Business, finance, healthcare, and tech industries analyzing data to inform decisions |
| Industry Usage | Primarily in AI, machine learning, and deep learning projects | Across industries for data analysis, predictive modeling, and insights |
While a Tensor is a fundamental data structure used in machine learning frameworks like TensorFlow, a Data Scientist analyzes data to extract insights and build models. Tensors are tools that Data Scientists often work with, but they are not roles themselves. Understanding tensors is essential for Data Scientists involved in AI and machine learning projects.
The most popular types of Tensor jobs are:
States with the most job openings for Tensor jobs include:
The top searched job categories for Tensor jobs are:
$133K - $175K/yr
Full-time
Re-posted 21 days ago
9.6
Based on 17 frontline employees who took The Breakroom Quiz
7th of 245 rated software companies
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.
Sourced by ZipRecruiter
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
