1

Gpu Programming Jobs (NOW HIRING)

Strong programming skills in Python and C++! * Hands-on experience with PyTorch or a similar tensor/autograd framework. * Experience optimizing GPU-accelerated workloads using CUDA, C++/CUDA ...

Strong programming skills in Python and C++! * Hands-on experience with PyTorch or a similar tensor/autograd framework. * Experience optimizing GPU-accelerated workloads using CUDA, C++/CUDA ...

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

Your expertise in GPU computing, performance optimization, and parallel programming will be instrumental in driving the development of high-performance, energy-efficient solutions that redefine the ...

Work with CPU-GPU parallel programming models and optimize data transfer. * Leverage NVIDIA libraries (CUDA, cuBLAS, cuDNN, NCCL as applicable). * Collaborate with system, compute, or AI/ML teams to ...

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

Your expertise in GPU computing, performance optimization, and parallel programming will be instrumental in driving the development of high-performance, energy-efficient solutions that redefine the ...

next page

Showing results 1-20

Gpu Programming information

See salary details

$33K

$65K

$95.5K

How much do gpu programming jobs pay per year?

As of Jun 29, 2026, the average yearly pay for gpu programming in the United States is $64,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What is a GPU Programming job?

A GPU Programming job involves writing and optimizing code to run on Graphics Processing Units (GPUs) for parallel computing tasks. This role is commonly found in fields like machine learning, scientific computing, gaming, and data analytics. GPU programmers use languages such as CUDA, OpenCL, or Vulkan to accelerate computations and improve performance. They work closely with software engineers and data scientists to optimize algorithms for high-performance applications.

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

To excel in GPU Programming, you need a strong background in parallel computing concepts, mathematics, and proficiency in languages such as CUDA, OpenCL, or DirectX/OpenGL, often supported by a degree in computer science, engineering, or a related field. Familiarity with NVIDIA and AMD GPU development tools, performance profilers, and possibly certifications like NVIDIA's Deep Learning Institute courses are valuable. Teamwork, effective communication, and strong problem-solving abilities are essential soft skills in this field. These competencies enable efficient development, optimization, and integration of high-performance GPU code in real-world applications.

What types of projects or applications do GPU Programmers commonly work on?

GPU Programmers are often involved in developing or optimizing software for high-performance applications such as machine learning, scientific simulations, real-time rendering in gaming and visualization, and video/image processing tools. Their daily work may include collaborating with software engineers, data scientists, and hardware teams to create efficient, scalable parallel algorithms that leverage GPU capabilities. The role frequently requires problem-solving to maximize computational efficiency and troubleshooting complex performance bottlenecks. By working across multidisciplinary teams, GPU Programmers help deliver robust solutions for data-intensive problems in areas like healthcare, finance, automotive technology, and entertainment.

What cities are hiring for Gpu Programming jobs? Cities with the most Gpu Programming job openings:
What are the most commonly searched types of Gpu Programming jobs? The most popular types of Gpu Programming jobs are:
What states have the most Gpu Programming jobs? States with the most job openings for Gpu Programming jobs include:
Infographic showing various Gpu Programming job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $64,974 per year, or $31.2 per hour.
Graphics (GPU) Performance Tools/Content Engineer

Graphics (GPU) Performance Tools/Content Engineer

Apple

Austin, TX

$147K - $272K/yr

Full-time

Medical, Dental, Retirement

Posted 12 days ago


Key responsibilities

  • Develop graphics and compute workloads to measure GPU performance.

  • Develop tools to aid in the efficient measurement, communication and improvement of GPU performance.

  • Debug performance issues to identify software problems.


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 666 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Do you love creating elegant solutions to highly complex challenges? In our Silicon Technologies group we help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You’ll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you’ll be responsible for crafting and building the technology that fuels Apple’s devices!
Together, you and your team will enable our customers to do all the things they love with their devices. In this role as part of the GPU Pre-silicon Performance team, you will be responsible for developing tools and content needed to aid performance analysis, tuning, and debug of Apple’s GPU products.
Description
As a GPU Performance Tools/Content Engineer, your responsibilities will include the following:
- Developing graphics and compute workloads to measure GPU performance
- Developing tools to aid in the efficient measurement, communication and improvement of GPU performance
- Debugging performance issues to identify software problems
- Working with driver, compiler and app engineers to improve GPU performance
- Validating the functionality and quantifying the performance benefit of the features and algorithms implemented in hardware and software
- Conducting directed studies and help provide solutions to performance challenges unique to mobile GPUs that are aimed at driving the architecture of next generation mobile products via measurements, simulations, benchmarking, or competitive analysis.
Preferred Qualifications
Strong software debug skills
Computer architecture knowledge
Familiar with Linux and bash/shell programming
Ability to work well in a team and be productive under aggressive schedules
Excellent communications skills, self-motivated and well organized
OpenGL/CL, CUDA, and/or Metal API programming experience
3D graphics architecture knowledge
Experience with Assembly optimization
Experience with Tableau, Splunk, MongoDB, or SQL databases
Experience with React and Javascript programming
Minimum Qualifications
BS or MS in EE/CS/ECE
3 years of relevant experience
Experience with programming in Python, C, or GPU programming
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

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