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Gpu Programming Jobs in Michigan (NOW HIRING)

Optimal Inc.

GPU Platform Infrastructure Engineer

Warren, MI · On-site

$100K - $131K/yr

GPU Platform Infrastructure Engineer Job Summary Support the GM ARC RTD team by building and maintaining the foundational GPU cluster platform infrastructure supporting shared AI/ML, simulation, and ...

Optimal Inc.

GPU Platform Infrastructure Engineer

Warren, MI · On-site

$100K - $131K/yr

GPU Platform Infrastructure Engineer Job Summary Support the GM ARC RTD team by building and maintaining the foundational GPU cluster platform infrastructure supporting shared AI/ML, simulation, and ...

General Motors

Senior ML Compiler Engineer

Warren, MI

$98K - $134K/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 ...

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Gpu Programming information

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.

What are the most commonly searched types of Gpu Programming jobs in Michigan? The most popular types of Gpu Programming jobs in Michigan are:
What are popular job titles related to Gpu Programming jobs in Michigan? For Gpu Programming jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Gpu Programming jobs in Michigan look for? The top searched job categories for Gpu Programming jobs in Michigan are:
Gpu Programming jobs near you
Infographic showing various Gpu Programming job openings in Michigan as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
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 18 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.

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