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You'll work across GPU architecture, CUDA/OpenCL development, Linux integration, performance optimization, and high-performance computing (HPC) to support mission-critical programs. Location:

... CUDA, OpenCL, NCCL), optimizing for throughput, latency, and memory use • Guide parallel and distributed computing patterns (MPI, multi‑GPU scaling, heterogeneous compute) • Establish ...

... CUDA, OpenCL, NCCL), optimizing for throughput, latency, and memory use • Guide parallel and distributed computing patterns (MPI, multi‑GPU scaling, heterogeneous compute) • Establish ...

... OpenCL or other GPU compatible parallel computing frameworks to optimize audio processing performance, and an understanding of acoustics applied toward speaker and cavity design. Additional ...

... OpenCL or other GPU compatible parallel computing frameworks to optimize audio processing performance, and an understanding of acoustics applied toward speaker and cavity design. Qualifications ...

Programming on GPUs with CUDA and/or OpenCL * C++ programming experience * Experience in creating robust and efficient system architectures and complex hardware-software systems * Experience ...

Edge AI Engineer

Finland, MN · On-site

$100 - $140/hr

Kokemusta GPU-ohjelmistojen kehittämisestä käyttäen HIP:iä, CUDA:a tai OpenCL:ää. * Yli viiden vuoden kokemus C++- ja Python-ohjelmoinnista (ei pakollinen). * Kokemusta TensorFlow- tai TinyML ...

Speech Recognition Lead

San Mateo, CA · On-site

$20.50 - $25.75/hr

... OpenCL or other GPU compatible parallel computing frameworks. Qualifications Additional Information All your information will be kept confidential according to EEO guidelines.

Speech Recognition Lead

San Mateo, CA

$20.50 - $25.75/hr

... OpenCL or other GPU compatible parallel computing frameworks. Additional Information All your information will be kept confidential according to EEO guidelines.

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How much do opencl jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for opencl in the United States is $22.63, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $25.00 per hour, depending on experience, location, and employer.

What is an OpenCL?

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 does an OpenCL developer do?

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 are the key skills and qualifications needed to thrive in the OpenCL position?

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.

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What states have the most Opencl jobs?

States with the most job openings for Opencl jobs include:

Infographic showing various Opencl job openings in the United States as of August 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 89% Physical, 5% Hybrid, and 6% Remote job distribution, with an average salary of $47,067 per year, or $22.6 per hour.

Software Engineer - Software Engineer - GPU, C++, OpenCL, CUDA

Hudson Manpower

Waukesha, WI • On-site

Contractor

Re-posted 18 days ago


Job description

Position: Software Engineer - GPU, C++, OpenCL, CUDA
Location: Waukesha, WI (Onsite)
Exp: 5 - 9 yrs
Key Skills: GPU, C++, OpenCL, CUDA, OneAPI, Matlab
Only USC / GC
Job Requirements
The CT Program is working on upgrading CT scanners used worldwide. The center is currently concentrating on the ongoing enhancement of the next generation of CT machines, including their essential workflows and applications. For that purpose, proficient and experienced resources are required.
Primary Objective:
  1. Leverage proprietary software platform to implement image processing algorithms on GPUs. (C++/OpenCL/CUDA/OneAPI)
  2. Improve image chain performance using heterogeneous high-performance computing (HPC) to meet customer expectations
  3. Ensure quality and compliance of productized code per regulatory expectations

Detailed Requirements:
  1. Productized CT image processing algorithms on GPU, including ported algorithms from Matlab to GPU, or OpenCL to CUDA
  2. Improved image chain & algorithm performance compared to initial benchmarks
  3. Perform GPU profiling, identify algorithm bottlenecks, troubleshoot and resolve performance issues
  4. Improve GPU utilization leveraging heterogenous HPC knowledge.
  5. Perform testing, reliability analysis, performance benchmarks and document results
  6. Execute test procedures with high quality and rigor, following Good Documentation Practices

Work Experience
Skills:
  1. Programming Languages: C++, OpenCL, CUDA, OneAPI
  2. Image Processing Algorithms: Implementation and optimization on GPUs
  3. High-Performance Computing (HPC): Knowledge of heterogeneous HPC
  4. Profiling and Performance Analysis: GPU profiling, identifying bottlenecks, troubleshooting, and resolving performance issues
  5. Testing and Documentation: Performing testing, reliability analysis, performance benchmarks, and documenting results following Good Documentation Practices

Additional Experience:
Productizing Algorithms: Experience in productizing CT image processing algorithms on GPU
Porting Algorithms: Experience in porting algorithms from Matlab to GPU or OpenCL to CUDA
Improving Performance: Proven track record of improving image chain and algorithm performance compared to initial benchmarks
Quality and Compliance: Ensuring quality and compliance of productized code per regulatory expectations
Best regards,
Prasad Kalsekar | Hudson Manpower
Email: prasad@hudsonmanpower.com