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Gpu Programming Jobs in Austin, TX (NOW HIRING)

Nutanix

GPU DV Engineer

Austin, TX · On-site

$109 - $163/hr

Engineering Group, Engineering Group > GPU ASICS EngineeringGeneral Summary:Architects, designs, implements, verifies, and optimizes performance and power of GPU cores. Responsible for verification ...

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Qualcomm

GPU DV Engineer

Austin, TX · On-site

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: Architects, designs, implements, verifies, and optimizes performance and power of GPU cores. Responsible for verification ...

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 DV Engineer

Austin, TX · On-site

$109 - $163/hr

Engineering Group > GPU ASICS Engineering General Summary: Architects, designs, implements, verifies, and optimizes performance and power of GPU cores. Responsible for verification of Graphics IP ...

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.

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.

Nvidia

Senior AI Engineer, High Performance AI

Austin, TX · On-site

$121K - $160K/yr

Experience with GPU programming and performance optimization (CUDA or equivalent). Ways To Stand Out From The Crowd: * Strong experience in building/evaluating deep learning models, coding agents and ...

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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 Sep 4, 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 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 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 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 August 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, 3% 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.

GPU Performance Modeling Driver Engineer

Apple Inc.

Austin, TX • On-site

$100 - $130/hr

Other

Re-posted 5 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 681 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

GPU Performance Modeling Driver Engineer

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, hard-working people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple hardware products. Join us to help deliver the next groundbreaking Apple product!We are seeking a highly motivated, innovative, and dedicated engineer to join the Platform Architecture GPU Modeling Team; we are a group that is driving advanced exploration for next generation GPU architectures in iPhone, iPad and Mac products. We rely on strong analytical skills and close collaboration to deliver the best overall solution to our customers. In this highly visible role, you will be at the center of a chip design effort working with all disciplines, with a critical impact on getting highly performant products to millions of customers quickly. This is an opportunity to join Apple’s world-class GPU team to collaborate, develop and improve GPU simulators for research, performance analysis, and architectural tuning.

Description

As part of the Platform Architecture GPU Modeling team, you will be working with architecture, design and software partners on the definition and tuning of Apple’s future GPU architectures.The role involves the creation and maintenance of C++ code modeling the software stack for next gen GPUs. You will be responsible for implementing new and existing Metal APIs to interact with a functional and performance model of the GPU. Implementing a custom driver stack to allow the model to interact with modern workloads using ray tracing, mesh shading, and more, is critical to evaluation of new GPU features. Additionally, you will be working in the model itself, implementing the functional and performance aspects of the various graphics and compute APIs. You will collaborate with experienced architects, modeling engineers, compiler engineers, and software teams to assess the feasibility of new hardware and software features, running performance experiments and analyzing results.

Minimum Qualifications
  • Software skills and proficiency developing in C++
  • GPU driver implementation related experience
  • Graphics API familiarity with one or more of: Metal, DirectX, Vulkan, OpenGL
Preferred Qualifications
  • MS or PhD degree
  • 3+ years of relevant experience
  • Knowledge of drivers and implementation details of graphics and compute APIs
  • Familiarity with GPU performance models and ISS simulators
  • Experience working with cutting edge graphics applications/games/benchmarks
  • Familiarity with compilers, operating systems and GPU/CPU architecture
  • Troubleshooting skills and attention to detail
  • Creative problem-solving skills

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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