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Gpu Programming Jobs in Austin, TX (NOW HIRING)

Deep expertise in the Rust programming language, including a strong grasp of compiler internals ... Solid understanding of parallel programming models, GPU architectures, and CUDA programming.

Senior ML Accelerator Engineer - GPU

Austin, TX

$170K - $258K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Excellent GPU programming skills in CUDA, with a thorough understanding of parallel programming patterns and GPU architecture. * Hands-on experience benchmarking, profiling, debugging and optimizing ...

Graphics Software Engineer

Austin, TX · On-site

$138K - $171K/yr

Experience with GPU programming via OpenGL, Vulkan, Metal, DirectX, CUDA, or other APIs. Experience with continuous integration systems, automated build systems, and regression systems. Strong ...

Graphics Software Engineer

Austin, TX

$138K - $171K/yr

Experience with GPU programming via OpenGL, Vulkan, Metal, DirectX, CUDA, or other APIs. Experience with continuous integration systems, automated build systems, and regression systems. Strong ...

Graphics Software Engineer

Austin, TX · On-site

$138K - $171K/yr

Experience with GPU programming via OpenGL, Vulkan, Metal, DirectX, CUDA, or other APIs. Experience with continuous integration systems, automated build systems, and regression systems. Strong ...

Graphics Software Engineer

Austin, TX · On-site

$138K - $171K/yr

Experience with GPU programming via OpenGL, Vulkan, Metal, DirectX, CUDA, or other APIs. Experience with continuous integration systems, automated build systems, and regression systems. Strong ...

Graphics Software Engineer

Austin, TX

$138K - $171K/yr

Preferred Qualifications Experience with GPU programming via OpenGL, Vulkan, Metal, DirectX, CUDA, or other APIs. Experience with continuous integration systems, automated build systems, and ...

Graphics Software Engineer

Austin, TX

$138K - $171K/yr

Experience with GPU programming via OpenGL, Vulkan, Metal, DirectX, CUDA, or other APIs. Experience with continuous integration systems, automated build systems, and regression systems. Strong ...

Graphics Software Engineer

Austin, TX · On-site

$138K - $171K/yr

Preferred Qualifications Experience with GPU programming via OpenGL, Vulkan, Metal, DirectX, CUDA, or other APIs. Experience with continuous integration systems, automated build systems, and ...

Job Title: GPU Software Engineer Location: Austin, TX Duration: Long Term Contract Roles and ... C++ programming * Problem-solving and communication skills * 5+ years of object-oriented and ...

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Gpu Programming information

See Austin, TX salary details

$32.7K

$64.4K

$94.7K

How much do gpu programming jobs pay per year?

As of Aug 18, 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:

Infographic showing various Gpu Programming job openings in Austin, TX as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $64,403 per year, or $31 per hour.

GPU Performance Profiling Engineer

NVIDIA Gruppe

Austin, TX • On-site

$152 - $288/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

What you’ll be doing:
  • Analyze hardware/software feature sets for next generation GPU and SoC performance tools.
  • Review next generation chip features for high-quality developer tools support, ensuring observability of critical performance behaviors.
  • Collaborate with developer tools engineers, software library developers, and GPU architects on new features.
  • Prototype new data collection methods to improve GPU dev tools quality and reduce time/cost to market.
  • Refine data collection with NVIDIA’s GPU Architecture and Developer Technology teams.
What we need to see:
  • B.S. EE/CS (or equivalent experience) with 4+ years of experience or MS with 2+ years’ experience, or Ph.D.
  • Demonstrated expertise in the software stack, encompassing C/C++/Python applications and both user-mode and kernel-mode drivers.
  • Proven knowledge of CPU and/or GPU architecture (e.g.: x86, ARM CPUs, GPUs).
  • Solid understanding of hardware pipeline concepts, with a willingness to work at a detailed implementation level.
  • Knowledge of performance analysis concepts, particularly of GPU applications.
  • Proficiency in hardware-software co-design principles and practices.
Ways to stand out from the crowd:
  • Strong programming ability in C, C++, and scripting languages.
  • Strong background in performance analysis tools and performance monitor hardware.
  • Experience in CUDA or GPU programming models.
  • Prior experience authoring developer tools, particularly for GPUs, games, or pro visualization.
  • In-depth experience with profiler tools including CPU, GPU, and networking as well as experience in device driver development.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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