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Opencl Jobs in California (NOW HIRING)

Apple

SW ML Optimization Engineer

Cupertino, CA · On-site

Experience with GPU or parallel programming-e.g., Metal, OpenCL, CUDA, or similar-through coursework, personal projects, internships, or research. Experience with profiling/performance analysis tools ...

Apple

Systems Performance Architect

Cupertino, CA · On-site

$206K/yr

... OpenCL, DirectX, Metal. Expertise in one or more focused areas (CPU/GPU, System Architecture, Compiler/SW Stack). Areas could include core/shader micro-architecture, texture pipeline, caching, or ...

PlusAI

Senior/Staff Software Engineer, Runtime

Santa Clara, CA · On-site

$143K - $189K/yr

... OpenCL, OpenVX, Halide or other SIMD programming models. • Ability to quickly learn and adapt to new technology • Ability to work on large code bases and a fast growing environment • Strong ...

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$13

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How much do opencl jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for opencl in California is $22.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $24.66 per hour, depending on experience, location, and employer.

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.

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 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 are the most commonly searched types of Opencl jobs in California? The most popular types of Opencl jobs in California are:
What are popular job titles related to Opencl jobs in California? For Opencl jobs in California, the most frequently searched job titles are:
What job categories do people searching Opencl jobs in California look for? The top searched job categories for Opencl jobs in California are:
Opencl jobs near you
Infographic showing various Opencl job openings in California as of August 2026, with employment types broken down into 85% Full Time, and 15% Temporary. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $46,451 per year, or $22.3 per hour.

Senior Accelerated Computing Architect

NVIDIA

Santa Clara, CA • On-site

Full-time

Re-posted 25 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

Job Summary:
NVIDIA is developing software and system architectures for accelerated high performance computing, scientific computing, machine learning, AI, datacenter, and automotive computing. This position offers you the opportunity to make a meaningful impact in a fast-moving, technology focused company.
Responsibilities:
• Performing in-depth analysis and optimization to ensure the best possible performance on current and/or next-generation NVIDIA GPUs.
• Creating and optimizing core parallel algorithms, data structures, and reference codes to provide the best possible solutions for NVIDIA GPUs.
• Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications.
• Actively collaborating with the hardware design, software engineering, product, and research teams to guide the direction of accelerated computing.
• Diving into accelerated computing applications to facilitate software-hardware co-design.
• Writing up and presenting your work by writing white papers, conference publications, official blog posts, patent applications, etc. as appropriate.
Qualifications:
Required:
• An MS or Ph.D. in Computer Science, Computer Engineering or Electrical Engineering, or equivalent experience
• 6+ years of relevant work experience
• Strong mathematical fundamentals, including linear algebra and numerical methods.
• A passion for performance optimization.
• Hands-on experience with the massively parallel GPU programming model, e.g. CUDA or OpenCL.
• Strong knowledge of C and C++ with solid understanding of software design, programming techniques, and algorithms.
• Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
Preferred:
• Familiarity with APIs for multi-node communication, like MPI or OpenSHMEM/NVSHMEM.
• Familiarity with threading APIs for multicore CPUs and Unix-style Inter-process Communication (IPC) APIs.
• Familiarity with Python.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

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

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