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Cuda Programming Jobs in Michigan (NOW HIRING)

Linear and Nonlinear Optimization techniques, CUDA/GPU Programming frameworks (e.g., Pytorch/Tensorflow), and optical or ebeam modeling * International and Domestic travel required up to 10% What ...

Linear and Nonlinear Optimization techniques, CUDA/GPU Programming frameworks (e.g., TensorFlow), and Data Analysis and Visualization tools. Minimum Qualifications Doctorate (Academic) Degree and 0 ...

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Cuda Programming information

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How much do cuda programming jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for cuda programming in Michigan is $47.38, according to ZipRecruiter salary data. Most workers in this role earn between $38.37 and $55.29 per hour, depending on experience, location, and employer.

What is the salary of NVIDIA CUDA developer?

The salary of an NVIDIA CUDA developer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Skilled CUDA programmers with advanced knowledge of parallel computing and GPU architecture tend to earn higher salaries.

What jobs use CUDA?

Jobs that use CUDA include roles such as GPU programmer, software developer, data scientist, and machine learning engineer, especially in fields like high-performance computing, artificial intelligence, and scientific research. These roles often require knowledge of parallel programming, C++, and GPU architecture, and involve developing or optimizing software to run efficiently on NVIDIA GPUs.

Are CUDA programmers in demand?

CUDA programmers are in high demand due to the growing use of GPU computing in fields like artificial intelligence, scientific research, and data processing. Skills in parallel programming, GPU architecture, and CUDA toolkit are highly valued, and job opportunities are expected to increase as these technologies expand across industries.

How much do CUDA engineers make?

CUDA engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in parallel programming and GPU optimization can command higher salaries, especially in tech hubs or companies with advanced AI and high-performance computing needs.

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 job categories do people searching Cuda Programming jobs in Michigan look for? The top searched job categories for Cuda Programming jobs in Michigan are:
What cities in Michigan are hiring for Cuda Programming jobs? Cities in Michigan with the most Cuda Programming job openings:

Senior Software Engineer, Calibration

Woven by Toyota

Ann Arbor, MI โ€ข On-site

$119K - $158K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago


Job description

Woven by Toyotaย is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what "mobility" means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all.

TEAM
An autonomous driving system typically comprises Sensing, Perception, Localization, Planning, and Control components. The World Understanding team owns responsibilities for Sensing, Perception, and Localization within Woven by Toyota for autonomous driving development. Specifically, the Sensor & Calibration sub-team, operating under the World Understanding team, focuses on Intrinsic and Extrinsic calibration of autonomous driving sensors, including Camera, LiDAR, Radar, and IMU. Our scope of work also encompasses the quality management of sensor data for post-processing activities and the operational management of calibration for our autonomous driving test vehicles.
ย 
WHO ARE WE LOOKING FOR?
The Sensor & Calibration sub-team is seeking an experienced Senior Software Engineer to support the development of online (dynamic) sensor calibration algorithms for our next-generation autonomous driving system. The selected candidate will be responsible for the design and implementation of online sensor calibration algorithms, validation of sensor calibration quality, optimization of runtime performance within limited computational resources, and the subsequent deployment of the algorithm to millions of Toyota production vehicles. We require an individual with specialized domain expertise in sensor calibration for autonomous driving systems, a comprehensive understanding of autonomous driving sensor hardware such as Camera, LiDAR, Radar, or IMU, and proven experience developing algorithms and tools for sensor calibration. Furthermore, candidates who exhibit a collaborative, "giver" mindset, consistently seeking opportunities to assist colleagues while maintaining a resolute focus on delivering production-ready solutions, are highly valued.
RESPONSIBILITIES
  • Lead the design, implementation, and delivery of next-generation online (dynamic) sensor calibration algorithms, proactively resolving deficiencies and ensuring that solutions meet objectives for reliability, quality, and business impact.
  • Establish validation pipelines to guarantee that the developed online sensor calibration algorithm adheres to the required calibration accuracy specified by Toyota products.
  • Optimize sensor calibration algorithms with respect to runtime, accuracy, and robustness, specifically considering constraints imposed by limited computational resources.
  • Collaborate with vehicle engineers and operators to ensure exceptional sensor calibration quality, which is critical for optimal vehicle deployment and the enhancement of autonomous driving performance.
  • Operate within a high-velocity environment and employ rigorous agile development practices.
  • Work within a hybrid workspace model, necessitating physical presence in our Ann Arbor (Michigan, US) office three days per week.
MINIMUM QUALIFICATIONS
  • A minimum of three years of industrial experience in computer vision or a related field, with demonstrated expertise in topics such as: Sensor Calibration for IMU, LiDAR, Camera, or Radar, Structure-from-motion, SLAM or Localization, Sensor fusion, 3D reconstruction or Multi-view geometry
  • Proficiency in C++ and Python programming languages.
  • Practical, hands-on experience in constructing a comprehensive sensor calibration stack for autonomous driving systems.
  • Profound understanding of autonomous driving sensors, including Camera, LiDAR, Radar, and IMU.
  • Experience in developing testable and modular code to maintain a robust production environment.
  • The ability to thrive in a fast-paced environment and collaborate effectively across teams and disciplines, supported by excellent interpersonal skills.
  • MS or PHD in Computer Science, Computer Vision, Robotics or related quantitative fields.
NICE TO HAVES
  • Experience in runtime optimization specifically for Linux and UNIX-like real-time operating systems.
  • Experience with embedded CUDA development and associated tooling.
  • A proven track record of deploying Machine Learning (ML) models at scale within autonomous driving or related technological fields.
WHAT WE OFFER
We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.
Excellent health, wellness, dental and vision coverage
A rewarding 401k program
Flexible vacation policy
Family planning and care benefits

Our Commitment
We are an equal opportunity employer and value diversity.
Any information we receive from you will be used only in the hiring and onboarding process. Please see ourย privacy noticeย for more details.
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