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Gpu Programmer Jobs in California (NOW HIRING)

Apple's Compute Frameworks team in GPU, Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS, macOS and Apple TV. ...

Apple's Compute Frameworks team in GPU, Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS, macOS and Apple TV. ...

In the GPU Developer Tools team, you will contribute to initiatives that provide developers the capabilities to learn, debug, and advance these technologies and more. The Qualcomm Adreno GPU Software ...

New

GPU ML Engineer

Cupertino, CA

$150K - $277K/yr

  • Medical

  • Dental

  • Retirement

Apple's Compute Frameworks team in GPU, Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS, macOS and Apple TV. ...

Senior GPU SW Engineer

San Diego, CA · On-site

$148K - $183K/yr

In the GPU Developer Tools team, you will contribute to initiatives that provide developers the capabilities to learn, debug, and advance these technologies and more. The Qualcomm Adreno GPU Software ...

New

GPU Kernel Engineer

San Francisco, CA · On-site

$190K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

About the role We are seeking a highly skilled GPU Kernel Engineer who is passionate about pushing the limits of performance on modern accelerators. In this role, you will design and optimize custom ...

Systems/GPU Research Engineer

San Francisco, CA · On-site

$160K - $320K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

About the Role As a systems/GPU engineer, you will play a crucial role in developing new kernels and algorithms that can improve inference for AI models. You will help develop new high-performance ...

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: GPU System Driver Team are looking for talented software engineers to develop in-house GPU drivers to verify GPU function ...

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...

GPU DV Engineer

Santa Clara, CA · On-site

$182K - $273K/yr

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...

Senior Software Engineer, GPU Performance

Sunnyvale, CA · On-site

$143K - $188K/yr

They are seeking a Senior Software Engineer to optimize GPU performance for critical products, driving innovations in AI and accelerated computing. Responsibilities : • Build optimizations for the ...

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Gpu Programmer information

See California salary details

$11

$39

$67

How much do gpu programmer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for gpu programmer in California is $39.02, according to ZipRecruiter salary data. Most workers in this role earn between $25.38 and $50.77 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the GPU programmer position, and why are they important?

To thrive as a GPU Programmer, you need a solid background in computer science, experience with parallel computing concepts, and proficiency in GPU programming languages like CUDA or OpenCL. Familiarity with development tools such as NVIDIA Nsight, profiling utilities, and version control systems is typically required, while relevant certifications in GPU computing can be beneficial. Strong problem-solving ability, collaboration skills, and attention to detail help differentiate top performers in this field. These skills are essential for optimizing code performance, successfully working in dynamic teams, and meeting the high computational demands of modern applications.

What does a GPU programmer do?

A GPU Programmer specializes in writing and optimizing code that runs on Graphics Processing Units (GPUs). They use parallel computing techniques and languages like CUDA or OpenCL to accelerate tasks such as graphics rendering, scientific simulations, and machine learning. Their work involves optimizing performance, managing memory efficiently, and ensuring compatibility across different hardware architectures.

What are popular job titles related to Gpu Programmer jobs in California?

For Gpu Programmer jobs in California, the most frequently searched job titles are:

What job categories do people searching Gpu Programmer jobs in California look for?

The top searched job categories for Gpu Programmer jobs in California are:

What cities in California are hiring for Gpu Programmer jobs?

Cities in California with the most Gpu Programmer job openings:

Infographic showing various Gpu Programmer job openings in California as of August 2026, with employment types broken down into 83% Full Time, 7% Part Time, 2% Temporary, 7% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $81,158 per year, or $39 per hour.

GPU ML Engineer

Apple, Inc.

Cupertino, CA • On-site

Other

Posted 22 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Apple's Compute Frameworks team in GPU, Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS, macOS and Apple TV. Our efforts are currently focused in the key areas of linear algebra, image processing, machine learning, along with other projects of key interest to Apple. We are always looking for exceptionally dedicated individuals to grow our outstanding team.
Description
Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating machine learning networks on Apple Silicon.
Role has the opportunity to influence the design of compute and programming models in next generation GPU architectures.
Minimum Qualifications
Technical BS/MS degree and Equivalent experience.
2 plus years of experience
GPU compute kernel framework development, maintenance, and optimization.
Experience with system level programming and computer architecture.
Experience with high performance parallel programming, GPU programming experience
Preferred Qualifications
Excellent programming and problem-solving skills.
Strong communication skills.
Strong collaboration skills.
Good understanding of machine learning fundamentals.
Background in mathematics, including linear algebra and numerical methods is a plus.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976