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Cuda Programming Jobs in Michigan (NOW HIRING)

Pentangle Tech

Software Engineers

Southfield, MI · On-site

Programming on GPUs with CUDA and/or OpenCL * C++ programming experience * Experience in creating robust and efficient system architectures and complex hardware-software systems * Experience ...

General Motors

Senior ML Compiler Engineer

Warren, MI · On-site

$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 ...

Torc Robotics

ML Engineer, I - App Engine

Ann Arbor, MI · On-site

... CUDA • Experience in the development of real-time distributed systems • Profound knowledge of C++ • Familiarity with machine learning technologies (e.g. PyTorch) • Experience with Linux ...

Wayve

Machine Learning Engineer, App SW

Detroit, MI · Hybrid

$283K - $381K/yr

C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices. * Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the ...

KLA Corporation

Algorithm Engineer

Ann Arbor, MI · On-site

$105K - $180K/yr

Linear and Nonlinear Optimization techniques, CUDA/GPU Programming frameworks (e.g., Keras), and Data Analysis and Visualization tools * Having a strong understanding of innovative research in ...

Kla

Algorithm Engineer

Ann Arbor, MI · Hybrid

$105K - $180K/yr

Linear and Nonlinear Optimization techniques, CUDA/GPU Programming frameworks (e.g., Keras), and Data Analysis and Visualization tools * Having a strong understanding of innovative research in ...

May Mobility

Robotics Engineer II

Ann Arbor, MI · On-site

Strong programming skills in C/C++/Python in a Linux environment * Functional proficiency with ... Experience with CUDA and GPU processing techniques * Proficiency with hard example mining, active ...

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Cuda Programming information

See Michigan salary details

$24

$47

$71

How much do cuda programming jobs pay per hour?

As of Sep 7, 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 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.

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 processing. Skills in parallel programming, GPU architecture, and CUDA toolkit are highly valued, and job opportunities are expected to grow as industries adopt GPU acceleration for complex tasks.

What does a CUDA programming developer do?

A CUDA programming developer writes software that leverages NVIDIA's CUDA platform to perform parallel processing on GPUs, optimizing computational tasks such as scientific simulations, machine learning, and image processing. They typically work with C++ and CUDA-specific libraries, debugging and optimizing code for high performance in environments that require intensive data processing.

What are popular job titles related to Cuda Programming jobs in Michigan?

For Cuda Programming jobs in Michigan, the most frequently searched job titles are:

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?

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Cuda Programming jobs near you
Infographic showing various Cuda Programming job openings in Michigan as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $98,543 per year, or $47.4 per hour.

Autonomous Driving Vehicle Perception Engineer

Reveille Technologies

Northville, MI • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

ONLY FULLTIME NO CONTRACT

Job Title: Autonomous Driving Vehicle Perception Engineer

Location: Northville, MI (Onsite)

Type: Full-time

About the Role

We are seeking an experienced Perception Engineer to design, build, and deploy real-time perception and multi-sensor fusion algorithms for next-generation autonomous driving systems across LiDAR, camera, radar, and GNSS modalities.

Key Responsibilities

  • Algorithms & Models: 3D Object Detection, Multi-Object Tracking, Semantic Segmentation, Machine Learning (PyTorch, TensorFlow, YOLO, Faster R-CNN, DeepSORT).

  • Localization & SLAM: Graph SLAM, LIO-SAM, Visual-Inertial SLAM, Point Cloud Processing (PCL, Open3D).

  • Sensor Fusion & Calibration: Intrinsic & Extrinsic Calibration, Multi-Sensor Fusion (LiDAR, Camera, Radar, GNSS), Coordinate Transformations, Time Synchronization.

  • System Integration & Optimization: ROS2, C++, Python, Real-Time Systems, Parallel Computing (CUDA, OpenCL).

Key Requirements

  • Experience: 3+ years in sensor calibration, multi-sensor fusion, or autonomous vehicle perception.

  • Core Fundamentals: Strong background in 3D geometry, coordinate frames, quaternions, probability, Bayesian filtering, and data association.

  • Tech Stack: High proficiency in C++ and Python; hands-on experience with ROS2 and computer vision libraries (OpenCV, PCL, or Open3D).

  • Deep Learning & Tracking: Experience with PyTorch/TensorFlow, object detection models (YOLO, Faster R-CNN), and tracking algorithms (Kalman Filters, DeepSORT, UKF).

  • Optimization: Familiarity with parallel computing platforms (CUDA/OpenCL) for real-time performance.

Thanks and Regards,

Praveenkumar

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