$133K - $175K/yr
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 ...
$133K - $175K/yr
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 ...
SysOps Administrator, DevOps Engineer, Solutions Architect) • 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack Company : Deloitte drives progress. Our firms ...
SysOps Administrator, DevOps Engineer, Solutions Architect) • 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack Company : Deloitte drives progress. Our firms ...
OR · On-site
Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This ...
OR · On-site
$122K - $161K/yr
CUDA or OpenCL programming experience. * Experience with the following technologies: MLIR, LLVM, XLA, TVM and deep learning models and algorithms. With competitive salaries and a generous benefits ...
OR · On-site
Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This ...
OR · On-site
$122K - $161K/yr
Proficiency in GPU architecture with CUDA or OpenCL programming experience. * A track record of mentoring early career engineers and interns is a bonus With competitive salaries and a generous ...
OR · On-site
$104K - $143K/yr
Experienced in parallel programming, including CUDA/OpenCL GPU programming or other parallel models such as OpenMP. * Solid understanding of computer architecture and hands-on experience with ...
OR · On-site
$122K - $161K/yr
CUDA or OpenCL programming experience. * Understanding of deep learning models, algorithms and frameworks, such as PyTorch, JAX. * GPU kernel authoring and performance analysis using tools such as ...
OR · On-site
$104K - $143K/yr
CUDA or OpenCL programming experience is desired but not required. * Experience with the following technologies is a huge plus: XLA, TVM, MLIR, LLVM, OpenAI Triton, deep learning models and ...
OR · On-site
$122K - $161K/yr
Knowledge of GPU development and compute APIs such as CUDA, and OpenCL. * Development experience in LLVM IR, MLIR With highly competitive salaries and a comprehensive benefits package, NVIDIA is ...
OR · On-site
$104K - $143K/yr
CUDA or OpenCL programming experience. * Experiences in systems with constrained resources, such as embedded platforms, small memory size, and cross compilation. * Experience with the following ...
Hillsboro, OR · On-site
$170K - $315K/yr
Low-level performance optimizations using CUDA, x86 assembly or intrinsics, or OpenCL Preferred qualifications : * 3 years+ Machine learning and deep learning algorithms or High-performance computing ...
Hillsboro, OR · On-site
$170K - $315K/yr
Low-level performance optimizations using CUDA, x86 assembly or intrinsics, or OpenCL Preferred qualifications : * 3 years+ Machine learning and deep learning algorithms or High-performance computing ...
Hillsboro, OR · On-site
$195K - $275K/yr
GPU optimizations (OpenCL, CUDA, SYCL/DPC++, C for Metal or similar) * Parallel programming (OpenMP, TBB, or MPI) Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location:
Hillsboro, OR · On-site
$195K - $275K/yr
GPU optimizations (OpenCL, CUDA, SYCL/DPC++, C for Metal or similar) * Parallel programming (OpenMP, TBB, or MPI) Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location:
Hillsboro, OR · On-site
$170K - $315K/yr
Low-level performance optimizations using CUDA, x86 assembly or intrinsics, or OpenCL Preferred qualifications : * 3 years+ Machine learning and deep learning algorithms or High-performance computing ...
Hillsboro, OR · On-site
$170K - $315K/yr
Low-level performance optimizations using CUDA, x86 assembly or intrinsics, or OpenCL Preferred qualifications : * 3 years+ Machine learning and deep learning algorithms or High-performance computing ...
Hillsboro, OR · On-site +1
$195K - $275K/yr
GPU optimizations (OpenCL, CUDA, SYCL/DPC++, C for Metal or similar) * Parallel programming (OpenMP, TBB, or MPI) Job Type:Experienced Hire Shift:Shift 1 (United States of America) Primary Location:
Hillsboro, OR · On-site +1
$195K - $275K/yr
GPU optimizations (OpenCL, CUDA, SYCL/DPC++, C for Metal or similar) * Parallel programming (OpenMP, TBB, or MPI) Job Type:Experienced Hire Shift:Shift 1 (United States of America) Primary Location:
OR · On-site
$122K - $161K/yr
CUDA or OpenCL programming experience. * Experiences in systems with constrained resources, such as embedded platforms, small memory size, and cross compilation. * Experience with the following ...
To excel in an OpenCL developer role, you need a solid background in parallel programming, computer architecture, and strong proficiency in C/C++, typically backed by a degree in computer science or related fields. Familiarity with GPU/CPU hardware, profiling tools such as clinfo or CodeXL, and experience using the OpenCL framework are essential. Effective problem-solving skills, adaptability, and collaboration are valuable soft skills for success in this position. These competencies allow developers to optimize code efficiently, accelerate computing tasks, and seamlessly work with cross-functional technical teams.
OpenCL developers often work on accelerating computational workloads by developing and optimizing kernels to run on GPUs, CPUs, or other accelerators. You may collaborate closely with software engineers, hardware architects, and data scientists to port existing algorithms to OpenCL and improve their performance. Typical tasks include profiling code, identifying bottlenecks, writing documentation, and participating in code reviews. Successfully executing these responsibilities directly contributes to improved system efficiency and supports the organization's high-performance computing goals.
An OpenCL job typically involves working with Open Computing Language (OpenCL), a framework for writing programs that execute across heterogeneous platforms, including CPUs, GPUs, and other processors. Professionals in this role develop and optimize parallel computing applications to enhance performance in fields like graphics rendering, scientific computing, machine learning, and data processing. They often work with C-based programming, kernel optimization, and hardware acceleration to maximize computational efficiency.
$133K - $175K/yr
Full-time
Posted 14 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 developing and optimizing math kernels to extract the highest performance out of the hardware architecture, apply to join the CUTLASS team today!
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.
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
