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Cuda Programmer Jobs in Texas (NOW HIRING)

Nvidia

Senior GPU Compiler Development Engineer

Austin, TX · On-site

$121K - $160K/yr

Work with NVIDIA GPU Architecture and CUDA Programming model teams to build abstractions to expose new GPU features in portable and performant ways in PTX ISA. PTX Compiler (PTXAS) apart from ...

YO AI Labs

GPU Programming Expert - Remote

Austin, TX · Remote

$60 - $85/hr

GPU Programming Expert - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL . * Profile and optimize ...

YO AI Labs

GPU Programming Expert - Remote

Dallas, TX · Remote

$60 - $85/hr

GPU Programming Expert - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL . * Profile and optimize ...

Nvidia

Deep Learning Compiler Engineer

Austin, TX · On-site

CUDA Tile is a new tile-based programming model that shipped with CUDA 13.1, and TensorIR is an open-source compiler infrastructure project that uses CUDA Tile to generate high-performance GPU ...

YO AI Labs

GPU Programming Expert - Remote

Houston, TX · Remote

$60 - $85/hr

GPU Programming Expert - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL . * Profile and optimize ...

Nvidia

Deep Learning Compiler Engineer

Austin, TX · On-site

CUDA Tile is a new tile-based programming model that shipped with CUDA 13.1, and TensorIR is an open-source compiler infrastructure project that uses CUDA Tile to generate high-performance GPU ...

Raytheon

Software Engineer II -Algorithms (Onsite)

Plano, TX · On-site

$93K - $127K/yr

Experience with optimized CUDA programming for Nvidia accelerators. * Experience with MATLAB ... Python, and other analysis tools. * Active and transferable Top Secret U.S. government issued ...

Nvidia

Senior Software Engineer, CUTLASS Kernels

Austin, TX · On-site

$121K - $160K/yr

Experience with CUDA, OpenCL, HIP, SYCL, Mojo, Pallas, Triton, Mosaic, Halide, or any general-purpose or domain-specific programming language targeting highly parallel accelerators. * Deep ...

Nvidia

Senior Software Engineer, CUTLASS Kernels

Austin, TX · On-site

$121K - $160K/yr

Experience with CUDA, OpenCL, HIP, SYCL, Mojo, Pallas, Triton, Mosaic, Halide, or any general-purpose or domain-specific programming language targeting highly parallel accelerators. Deep ...

Nvidia

Senior AI Engineer, High Performance AI

Austin, TX · On-site

$121K - $160K/yr

... Engineer to build groundbreaking multi-agent systems for the CUDA ecosystem. We build innovative ... Design, build and optimize agentic AI systems for the CUDA ecosystem. Co-design agentic system ...

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Cuda Programmer information

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How much do cuda programmer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for cuda programmer in Texas is $36.83, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $47.93 per hour, depending on experience, location, and employer.

What is a cuda programmer?

A CUDA Programmer develops high-performance parallel computing applications using NVIDIA's CUDA (Compute Unified Device Architecture) framework. They optimize algorithms to run efficiently on GPUs, accelerating tasks such as machine learning, scientific simulations, and real-time data processing. This role requires proficiency in C/C++, an understanding of GPU architectures, and experience with parallel computing concepts to maximize performance.

What are the key skills and qualifications needed to thrive as a cuda programmer?

To thrive as a Cuda Programmer, you need strong programming skills in C/C++ and parallel computing, with a solid understanding of GPU architectures and CUDA development. Familiarity with CUDA libraries, performance profiling tools, and platforms like NVIDIA Nsight or Visual Studio is often required, while certifications from NVIDIA can be advantageous. Problem-solving abilities, attention to detail, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can optimize complex algorithms, work efficiently on high-performance computing projects, and collaborate smoothly with multidisciplinary teams.

What are the most common challenges faced by cuda programmers in their daily work?

Cuda Programmers often encounter challenges related to optimizing code performance and efficiently managing memory on GPU architectures. Debugging and profiling can be complex, as issues may arise from both the code and hardware-specific elements, requiring close attention to parallelization and bottlenecks. Collaboration is key, as you’ll typically work closely with software engineers, data scientists, or researchers to integrate and optimize code for specialized workflows. Successfully navigating these challenges helps drive significant performance improvements and innovation in high-performance computing applications.

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Cuda Programmer jobs near you
Infographic showing various Cuda Programmer job openings in Texas as of August 2026, with employment types broken down into 81% Full Time, 7% Part Time, 10% Contract, and 2% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $76,614 per year, or $36.8 per hour.

Senior GPU Compiler Development Engineer

Nvidia

Austin, TX • On-site

$121K - $160K/yr

Full-time

Re-posted 10 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

We are looking for experienced Systems SW Compiler Engineers for an exciting role in our PTX (Parallel Thread Execution) Compiler Development team. Join the PTX Compiler team and help drive PTX language design and PTX compiler evolution. PTX enables all GPU Computing applications including HPC, Deep Learning and Autonomous Driving. PTX provides a stable programming model and portable instruction set Architecture (ISA) for NVIDIA GPUs and used by all Compute programming languages compiled to NVIDIA GPUs. PTX is also used as a compiler target by various non-NVIDIA compilers. Work with NVIDIA GPU Architecture and CUDA Programming model teams to build abstractions to expose new GPU features in portable and performant ways in PTX ISA. PTX Compiler (PTXAS) apart from implementing PTX ISA is responsible for PTX Compiler Front End, interaction with optimizer and runtime aspects involving object files, debug information, linkers, loaders and Driver Compiler Interface.

As a senior member of the team, you will be responsible for leading efforts to enhance PTX Compiler infrastructure to enhance it to support new compilation models for DL and Generative AI codes. You will be contributing towards evolving programming model for Generative AI and DL applications on GPUs.

What you will be doing:

  • Provide stewardship for PTX ISA and PTX Compiler infrastructure for Generative AI and DL.

  • Collaborating with architecture and programming model teams to design and implement programming models for next generation GPUs.

  • Working closely with others to help design compilation stack and strategies for AI and DL workloads.

  • Collaborate closely with teams developing other related components to ensure compatibility, robustness and high-quality code generation.

What we need to see:

  • BS (or equivalent experience), MS or Ph.D. in Computer Science, Computer Engineering, or related fields.

  • 6+ years of experience in the area of compiler front end, programming language designs, Compilers/Linkers.

  • Superb analytical and C/C++ programming skills.

  • Able to expertly use AI tools and maintain AI generated artifacts

  • Experience in any one area of compiler development including feature support, code generation and compiler infrastructure.

  • Excellent and strong interactive, verbal and written communications skills.

  • Understanding of any Processor ISA (GPU ISA a plus).

  • Good track record of developing, driving and delivering software products.

Ways to stand out from the crowd:

  • Experience in Programming Languages design and drafting programming language standards.

  • Knowledge of GPU development and compute APIs such as CUDA, and OpenCL.

  • Development experience in LLVM IR, MLIR

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Deep Learning, Artificial Intelligence, Autonomous Vehicles, Virtual Reality, etc. Our diverse team of talented, capable, and professional people are our greatest asset! If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

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

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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

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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

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