ZipRecruiter

Log In

1

Cuda 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 ...

Hudson River Trading

GPU Systems Engineer

Austin, TX · On-site

Hudson River Trading (HRT) is looking for GPU Systems Engineers to help scale and evolve our ... CUDA or C/C++ experience is a plus * Experience with NVIDIA technologies beyond CUDA, such as NCCL ...

General Motors

Staff ML Compiler Engineer

Austin, TX

GPU programming (CUDA) and familiarity with ML SW stack (e.g.,cuDNN,cuBLAS) * Experience with ML accelerators and hardware architecture * Experience developing and deploying machine learning models ...

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 ...

General Motors

Senior ML Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

GPU programming (CUDA) and familiarity with ML SW stack (e.g.,cuDNN,cuBLAS) * Experience with ML accelerators and hardware architecture * Experience developing and deploying machine learning models ...

NVIDIA

Senior GPU Compiler Development Engineer

Austin, TX · On-site

$121K - $160K/yr

Preferred : • Experience in Programming Languages design and drafting programming language standards. • Knowledge of GPU development and compute APIs such as CUDA, and OpenCL. • Development ...

Allen Control Systems

Platform Engineer

Austin, TX · On-site

Required : • Skill at Python programming and Bash scripting • 2+ years of experience in ... including CUDA, device plugins, GPU scheduling in Kubernetes, and KubeFlow or similar ML ...

Allen Control Systems

Platform Engineer

Austin, TX · On-site

Required : • Skill at Python programming and Bash scripting • 2+ years of experience in ... including CUDA, device plugins, GPU scheduling in Kubernetes, and KubeFlow or similar ML ...

previous page

Showing results 41-60

All JobsCuda Programming JobsCuda Programming Jobs in Austin, TX

Cuda Programming information

See Austin, TX salary details

$27

$53

$81

How much do cuda programming jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for cuda programming in Austin, TX is $53.93, according to ZipRecruiter salary data. Most workers in this role earn between $43.65 and $62.98 per hour, depending on experience, location, and employer.

Are CUDA programmers in demand?

CUDA programmers are in high demand due to the growing need for high-performance computing in fields like artificial intelligence, scientific research, and data analysis. Skills in parallel programming, GPU architecture, and CUDA toolkit are highly valued by employers across technology, automotive, and research industries.

What is the difference between Cuda Programming vs GPU Developer?

AspectCuda ProgrammingGPU Developer
Required CredentialsKnowledge of CUDA, C/C++, parallel computingKnowledge of GPU architecture, CUDA, OpenCL, C/C++
Work EnvironmentHigh-performance computing, scientific research, AIGraphics, gaming, scientific visualization, AI
Industry UsageTech companies, research labs, AI firmsGaming, entertainment, tech, research

While Cuda Programming focuses specifically on writing code using NVIDIA's CUDA platform for parallel processing, GPU Developers have a broader role that includes designing, optimizing, and implementing GPU-based solutions across various platforms and technologies. Both roles require knowledge of GPU architecture and programming languages like C/C++, but GPU Developers often work on a wider range of applications beyond CUDA-specific projects.

What does a CUDA programmer do?

A CUDA programmer develops software that leverages NVIDIA's CUDA platform to perform parallel computing tasks on GPUs. They write and optimize code using languages like C++ and CUDA-specific libraries to accelerate applications in fields such as scientific computing, machine learning, and graphics processing.
What are popular job titles related to Cuda Programming jobs in Austin, TX? For Cuda Programming jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Cuda Programming jobs in Austin, TX look for? The top searched job categories for Cuda Programming jobs in Austin, TX are:
What cities near Austin, TX are hiring for Cuda Programming jobs? Cities near Austin, TX with the most Cuda Programming job openings:
Cuda Programming jobs near you
Infographic showing various Cuda Programming job openings in Austin, TX as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 14% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $112,171 per year, or $53.9 per hour.

System Software Engineer, Profiler - GPU

Nvidia

Austin, TX

Full-time

Posted 14 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

At NVIDIA, we build groundbreaking products for the following sectors: Automotive, VR, Gaming, Deep Learning, and High Performance Computing. See your efforts in action as developers use your tools to debug, profile and analyze the performance of their systems/applications using the low-level libraries that you helped to craft as a member of the GPU Foundations Developer Tools team! Innovate as you develop the performance analysis capabilities of NVIDIA hardware along with the Nsight tools and the foundation library to support next generation accelerated computing at datacenter scale.

As a system software engineer in the Developer Tools group, you will be developing software that empowers GPU application developers to build outstanding compute applications deployed on the world's largest distributed environments. We are seeking a talented Software Engineer to join our team and contribute to the performance triage development and co-design of foundational software libraries for developer tools in collaboration with our Hardware Architecture team. Join our team and gain exciting opportunities to work hands-on at every layer of NVIDIA's outstanding technology.

What you'll be doing:

  • Design, develop, and maintain GPU performance foundation libraries for Nsight tools with focus on high fidelity hardware events and counters.

  • Develop and implement GPU assembly tests.

  • Build and maintain a test validation framework written primarily in CUDA and GPU Assembly.

  • Utilize emulators to debug and verify instruction events.

  • Document tools use cases and data processing workflows to facilitate architectural explorations.

What we need to see:

  • B.S. EE/CS (or equivalent experience) and 5+ years of experience or MS with 2+ years' experience, or Ph.D.

  • Strong programming ability in C, C++, and scripting languages such as Python.

  • Good understanding or prior experience with low level assembly code.

  • Solid understanding of hardware pipeline and execution unit instruction pipeline concepts, with a willingness to work at a detailed implementation level.

  • Knowledge of hardware-software co-design principles and practices.

  • Experience with performance analysis and optimization of software on hardware accelerators.

  • Experience with developing on simulators and emulators.

  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

  • Strong communication skills, both written and verbal.

Ways to stand out from the crowd:

  • Shown knowledge of compute (CUDA/OpenCL), modern graphics (DirectX12, OpenGL, Vulkan, Metal), or DL frameworks (PyTorch/JAX).

  • Prior experience authoring developer tools, particularly for GPUs, games, pro visualization, or compute workloads.

  • Knowledge of performance analysis, particularly of GPU applications.

  • Experience in 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.

Applications for this job will be accepted at least until July 28, 2026.

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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

View All Nvidia Jobs

Apply