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Gpu Programming Jobs (NOW HIRING)

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Machine Learning Engineer

New York, NY · On-site

NVIDIA GPU programming (Triton, CUTLASS, custom CUDA kernels) and deep NCCL knowledge * FP8 or FP4 training experience * Familiarity with TorchTitan, SGLang, vLLM, Megatron, etc. * Track record of ...

Synopsys Inc

HPC Software Engineer

Canonsburg, PA · On-site

Responsibilities : • Design, implement, and optimize parallel programming methods within Ansys Mechanical solver products using MPI, GPU programming models like CUDA, HIP, SYCL, OpenMP, and other ...

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$113K - $133K/yr

... • Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. • Contribute to the architecture and implementation of embedded systems ...

Qualcomm

GPU HLM Engineer

San Diego, CA · On-site

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...

Pika

Software Engineer, Inference

Palo Alto, CA · On-site

$185K - $250K/yr

Deep knowledge of GPU programming (CUDA, NCCL) and experience with SP, TP, PP, and other forms of parallelism for distributed inference. * AI Domain Knowledge : Familiarity with video generation ...

Leidos

GPU Software Engineer

Arlington, VA · On-site

$107K - $195K/yr

A solid understanding of GPU programming and parallel computing architectures * Understanding signal processing algorithms written in MATLAB * Parallelization of existing algorithms * Decomposing ...

Booz Allen Hamilton

Computer Vision AI Engineer

$114K - $134K/yr

... • Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. • Contribute to the architecture and implementation of embedded systems ...

Leidos

GPU Software Engineer

Annandale, VA · On-site

$107K - $195K/yr

A solid understanding of GPU programming and parallel computing architectures * Understanding signal processing algorithms written in MATLAB * Parallelization of existing algorithms * Decomposing ...

Leidos

GPU Software Engineer

Riverdale, MD · On-site

$107K - $195K/yr

A solid understanding of GPU programming and parallel computing architectures * Understanding signal processing algorithms written in MATLAB * Parallelization of existing algorithms * Decomposing ...

Leidos

GPU Software Engineer

Woodbridge, VA · On-site

$107K - $195K/yr

A solid understanding of GPU programming and parallel computing architectures * Understanding signal processing algorithms written in MATLAB * Parallelization of existing algorithms * Decomposing ...

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How much do gpu programming jobs pay per year?

As of Jun 29, 2026, the average yearly pay for gpu programming in the United States is $64,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What is a GPU Programming job?

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 the Gpu Programming position, 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.

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Gpu Programming jobs near you
Infographic showing various Gpu Programming job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $64,974 per year, or $31.2 per hour.
Research Engineer II/III - FPGA, GPU programming

Research Engineer II/III - FPGA, GPU programming

SRI International

Ann Arbor, MI • On-site

$115K - $172K/yr

Full-time

Posted 8 days ago

Job description

Overview

From our Ann Arbor, MI office, we have an opening for a Research Engineer with real-time hardware and embedded software experience. You will participate in multi-disciplinary, collaborative teams and contribute to the development of state-of-the-art remote sensing and surveillance processing algorithms and software implemented on real-time hardware. Relevant sensor types include electro-optic/infrared and active/passive radar imaging systems.

Candidates must have experience with either real-time hardware or embedded software. Those lacking experience with one but possess the desire and motivation to learn the other are encouraged to apply. 

This position is within the Advanced Technology and Systems Division (ATSD). The vision of ATSD is to create competitive advantages for our customers by inventing new technology and concepts resulting in disruptive, low cost, and high-performance solutions. The division advances the state of the art in diverse areas such as radar and electronic warfare; novel imaging technology; robotics; quantum sensing and metrology; marine technology; and applied optics. Check us out!

Responsibilities
  • Implementation of complex algorithms on real-time hardware.
  • Collaboration with algorithm developers to enhance performance of algorithms on real-time hardware
  • Development of software to control sensors and processing nodes
  • Configure processing nodes to optimize performance
  • Participate in laboratory work, collecting and analyzing sensor data
Qualifications
  • Minimum qualifications: RE II - Bachelors with 2+ years OR M.S. degree; RE III - Bachelors with 5+ years OR MS with 3+ years of related experience.   Area of study - Electrical Engineer, Computer Engineering, Computer Science, Physics, Math, or another related field.
  • U.S. Citizenship with ability to obtain and maintain a U.S. government security clearance required.
  • Experience with software development in C and/or C++
  • Embedded systems - FPGA and/or GPU systems (CUDA, OpenCL)
  • Experience with Unix/Linux operating system and multi-threaded/parallel computing
  • Strong analytical ability
  • Ability to support occasional travel associated with meetings and/or data collections

Desired Skills:

  • Digital Signal Processing (DSP) theory and implementation
  • Experience with Matlab and/or Python 
  • Networking hardware/software/administration
  • Basics of digital system design

The salary range is: RE II -$90,580-$134,740. RE III - $115,710-$$172,115. Salary ranges will vary and are based on several factors, including geographic location, market competitiveness and equity amongst internal employees in similar roles. Positions may also qualify for SRI's Pay for Outstanding Performance program or the annual Performance Based Compensation program. SRI also has a competitive benefits package, to view details please go to https://www.sri.com/resources/benefits/. SRI will accept applications until the position is filled.

SRI is an independent nonprofit research institute headquartered in Menlo Park, Calif., with a rich history of supporting government and industry. We create and deliver world-changing solutions for a safer, healthier, and more sustainable future. For more than 75 years, we have collaborated across technical and scientific disciplines to discover and develop groundbreaking products and technologies and bring innovations and ideas to the marketplace.

Employment Type: FULL_TIME

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