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Gpu Programming Jobs in Austin, TX (NOW HIRING)

Allen Control Systems

Software Engineer

Austin, TX · On-site

Preferred : • Experience with GPU programming (CUDA, OpenCL) or parallel computing. • Knowledge of networking protocols and distributed systems. • Exposure to machine learning frameworks ...

Allen Control Systems

Software Engineer

Austin, TX · On-site

Preferred : • Experience with GPU programming (CUDA, OpenCL) or parallel computing. • Knowledge of networking protocols and distributed systems. • Exposure to machine learning frameworks ...

Qualcomm

GPU Design Engineer

Austin, TX · On-site

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: We are seeking an accomplished Principal- or Director-level technical leader to lead a high-performance RTL Design and ...

Nvidia

Senior AI Frameworks Engineer

Austin, TX · On-site

$121K - $160K/yr

As a core contributor to the CUTLASS project, you will use your expertise in systems programming and API design to create a world-class developer experience for GPU programming and kernel delivery.

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Gpu Programming information

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$64.4K

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How much do gpu programming jobs pay per year?

As of Aug 9, 2026, the average yearly pay for gpu programming in Austin, TX is $64,403.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $79,300.00 per year, depending on experience, location, and employer.

What is GPU programming?

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 GPU programming, 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 are popular job titles related to Gpu Programming jobs in Austin, TX? For Gpu Programming jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Gpu Programming jobs in Austin, TX look for? The top searched job categories for Gpu Programming jobs in Austin, TX are:
Gpu Programming jobs near you
Infographic showing various Gpu Programming job openings in Austin, TX as of July 2026, with employment types broken down into 1% Internship, 79% Full Time, 14% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $64,403 per year, or $31 per hour.

Graphics (GPU) Performance Analysis Engineer

Apple Inc.

Austin, TX • On-site

$90 - $130/hr

Other

Re-posted 16 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

Graphics (GPU) Performance Analysis Engineer

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 Performance Analysis team, you will be working with architecture, design, and software partners on performance analysis, tuning, and debug of Apple’s future GPU architectures!

Description

As a GPU Performance Analysis Engineer, your responsibilities will include the following:- Developing performance test plans to validate GPU performance.- Analyzing performance issues to identify hardware and software problems.- Proposing novel hardware solutions to improve GPU performance.- Developing tools to aid in the efficient measurement, communication and improvement of GPU performance.- Validating the functionality and quantify the performance benefit of the features and algorithms implemented in hardware and software.

Minimum Qualifications
  • Experience in computer architecture.
  • Experience in GPU architecture.
  • Experience in GPU or CPU performance analysis.
  • Experience in programming with OpenGL/CL and/or Metal API.
  • Programming skills in Python, C and C++.
  • BS + minimum of 3 years of relevant experience.
Preferred Qualifications
  • We are looking for fast learners with good problem solving and analytical skills.
  • Ability to work well in a team and be productive under aggressive schedules.
  • Excellent communications skills, self-motivated and well organized.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

Apple accepts applications to this posting on an ongoing basis.

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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

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