OR · On-site
$122K - $161K/yr
GPU programming experience (CUDA or OpenCL) is a plus Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is ...
OR · On-site
$122K - $161K/yr
GPU programming experience (CUDA or OpenCL) is a strong plus. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary ...
Senior Software Engineer, CUTLASS Kernels
$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 ...
Senior Software Engineer, CUTLASS Kernels
$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 ...
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
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
$122K - $161K/yr
CUDA or OpenCL programming experience. * Track record on new hardware bring-up is a plus. With competitive salaries and a generous benefits package, we are widely considered to be one of the ...
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 ...
Senior AI Algorithm Engineer in oneDNN
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:
Senior AI Algorithm Engineer in oneDNN
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:
AI Performance Library Architect
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 ...
AI Performance Library Architect
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 ...
AI Performance Library Architect
$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 ...
AI Performance Library Architect
$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 ...
Senior AI Algorithm Engineer in oneDNN
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:
Senior AI Algorithm Engineer in oneDNN
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 ...
Opencl information
What are the key skills and qualifications needed to thrive in the Opencl position, and why are they important?
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.
Who is the owner of OpenCL?
OpenCL is maintained by the Khronos Group, an industry consortium that develops open standards for graphics and compute APIs. It is an open standard used by developers working with parallel programming, GPU computing, and heterogeneous systems.
What are some common projects or responsibilities for an OpenCL developer in a typical workweek?
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.
What is an OpenCL job?
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.
What can you do with OpenCL?
OpenCL is a framework used by developers to write programs that run across heterogeneous platforms such as CPUs, GPUs, and other processors. It enables parallel computing and acceleration of tasks like image processing, scientific simulations, and machine learning. OpenCL skills are valuable for roles involving high-performance computing, hardware acceleration, and optimizing software for diverse hardware environments.
Can computer engineers make $500,000?
Computer engineers, including those working with OpenCL and related technologies, typically earn salaries below $500,000, with high earners often reaching this level through senior roles, specialized skills, or leadership positions. Achieving a $500,000 salary usually requires extensive experience, advanced certifications, or working in high-paying industries such as tech giants or finance. Most standard roles in computer engineering offer lower base salaries, but total compensation can increase with bonuses and stock options.
Does C++ have job opportunities?
OpenCL developers often use C++ to write high-performance parallel code, and there are job opportunities in fields such as graphics, scientific computing, and machine learning that require C++ skills. Proficiency in C++, along with knowledge of OpenCL and parallel programming, can enhance employability in these areas. Many tech companies and research institutions seek professionals with expertise in C++ for GPU and heterogeneous computing roles.
What are popular job titles related to Opencl jobs in Oregon? For Opencl jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Opencl jobs in Oregon look for? The top searched job categories for Opencl jobs in Oregon are:
$122K - $161K/yr
Full-time
Posted 28 days ago
Job description
We are now looking for a Senior DL Algorithms Engineer! NVIDIA is seeking senior engineers who are mindful of performance analysis and optimization to help us squeeze every last clock cycle out of Deep Learning workloads. If you are unafraid to work across all layers of the hardware/software stack from GPU architecture to Deep Learning Framework to achieve peak performance, we want to hear from you! This role offers an opportunity to directly impact the hardware and software roadmap in a fast-growing technology company that leads the AI revolution.
What you will be doing:
Implement language and multimodal model inference as part of NVIDIA Inference Microservices (NIMs).
Contribute new features, fix bugs and deliver production code to TRT-LLM, NVIDIA's open-source inference serving library.
Profile and analyze bottlenecks across the full inference stack to push the boundaries of inference performance.
Benchmark state-of-the-art offerings in various DL models inference and perform competitive analysis for NVIDIA SW/HW stack.
Collaborate heavily with other SW/HW co-design teams to enable the creation of the next generation of AI-powered services.
What we want to see:
PhD in CS, EE or CSEE or equivalent experience.
5+ years of experience.
Strong background in deep learning and neural networks, in particular inference.
Experience with performance profiling, analysis and optimization, especially for GPU-based applications.
Proficient in C++, PyTorch or equivalent frameworks.
Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.
Ways to stand out from the crowd:
Proven experience with processor and system-level performance optimization.
Deep understanding of modern LLM architectures.
Strong fundamentals in algorithms.
GPU programming experience (CUDA or OpenCL) is a plus
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 a diverse 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.
About Nvidia
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.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993