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Cuda Jobs in Michigan (NOW HIRING)

Experience with CUDA and GPU processing techniques * Proficiency with hard example mining, active learning or dataset composition techniques * Experience calculating metrics for and evaluating ...

Algorithm Engineer

Ann Arbor, MI · On-site

$105K - $180K/yr

Linear and Nonlinear Optimization techniques, Statistical Models, CUDA/GPU Programming frameworks, and Data Analysis and Visualization tools * Great teammate with excellent written and verbal ...

Experience with CUDA and GPU processing techniques * Proficiency with hard example mining, active learning or dataset composition techniques * Experience calculating metrics for and evaluating ...

Linear and Nonlinear Optimization techniques,Statistical Models,CUDA/GPU Programming frameworks, and Data Analysis and Visualization tools * Great teammate with excellent written and verbal ...

Algorithm Engineer

Ann Arbor, MI · On-site

$105K - $180K/yr

Linear and Nonlinear Optimization techniques, Statistical Models, CUDA/GPU Programming frameworks, and Data Analysis and Visualization tools * Great teammate with excellent written and verbal ...

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 ...

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 ...

Showing results 21-40

Cuda information

See Michigan salary details

$97.2K

$179.5K

How much do cuda jobs pay per year?

As of Aug 17, 2026, the average yearly pay for cuda in Michigan is $174,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $178,700.00 and $178,700.00 per year, depending on experience, location, and employer.

What is a CUDA developer?

A CUDA job typically involves developing, optimizing, and implementing parallel computing applications using NVIDIA's CUDA platform. CUDA (Compute Unified Device Architecture) enables developers to leverage the power of GPUs for high-performance computing tasks such as deep learning, simulations, and scientific computing. Professionals in this role often work with C, C++, or Python, using CUDA libraries and frameworks to accelerate processing. Strong knowledge of parallel programming, memory management, and GPU architecture is essential for success in this field.

What are some common challenges faced when working as a CUDA developer, and how can they be addressed?

CUDA Developers often encounter challenges such as debugging complex parallel code, optimizing memory usage, and ensuring compatibility across different GPU architectures. To address these, it's important to leverage profiling tools like NVIDIA Nsight to identify bottlenecks and inefficiencies. Collaborating closely with team members, such as data scientists and software engineers, can also help in resolving integration issues and achieving better performance. Staying updated with the latest CUDA Toolkit releases and best practices is key to overcoming these challenges and delivering robust GPU-accelerated applications.

What are the key skills and qualifications needed to thrive as a CUDA developer, and why are they important?

To thrive as a CUDA Developer, you need strong programming skills in C/C++, a solid understanding of parallel computing concepts, and experience with GPU architectures. Familiarity with the CUDA toolkit, NVIDIA GPUs, and related profiling/debugging tools is typically required, and certifications in GPU programming can be advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills for optimizing code and collaborating with cross-functional teams. These skills are crucial for developing high-performance applications that leverage GPU acceleration, ensuring efficiency and innovation in compute-intensive fields.

What is the difference between Cuda vs GPU Developer?

AspectCudaGPU Developer
Required CredentialsKnowledge of CUDA programming, often with a background in computer science or engineeringExperience with GPU programming, CUDA, OpenCL, or similar; often requires a degree in computer science or related fields
Work EnvironmentPrimarily focused on developing and optimizing CUDA-based applications for NVIDIA GPUsDesigning, developing, and maintaining GPU-accelerated applications across various platforms and hardware
Industry UsageUsed mainly in high-performance computing, AI, and scientific research involving NVIDIA GPUsApplied across gaming, scientific computing, AI, and multimedia industries

In summary, CUDA is a specialized skill set focused on programming NVIDIA GPUs using CUDA, while a GPU Developer has a broader role that may include using various GPU programming tools and working across multiple platforms. CUDA is a subset of the skills a GPU Developer might possess, making them closely related but distinct roles.

What are the most commonly searched types of Cuda jobs in Michigan?

The most popular types of Cuda jobs in Michigan are:

What cities in Michigan are hiring for Cuda jobs?

Cities in Michigan with the most Cuda job openings:

Infographic showing various Cuda job openings in Michigan as of August 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $174,763 per year, or $84 per hour.

Autonomous Driving Senior Vehicle Perception Engineer

Quest Global

Northville, MI • On-site

$95K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Quest Global rating

7.8

Company rating: 7.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

242nd of 449 rated engineering


Job description

Job Requirements

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.

We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you. The achievers and courageous challenge-crushers we seek, have the following characteristics and skills

What You will Do:

  • Design and implement advanced perception algorithms for autonomous vehicles using LiDAR, cameras, radar, and GNSS.
  • Develop and optimize sensor fusion techniques to combine data from multiple sensors, improving the accuracy and reliability of perception systems.
  • Create algorithms for object detection, tracking, semantic segmentation, and classification from 3D point clouds (LiDAR) and camera data.
  • Work on Simultaneous Localization and Mapping (SLAM) algorithms, including Graph SLAM, LIO-SAM, and visual-inertial SLAM.
  • Develop sensor calibration techniques (intrinsic and extrinsic) and coordinate transformations between sensors.
  • Participate in real-time systems design and optimization to meet the high-performance requirements of autonomous driving.
  • Work with ROS2 for integration and deployment of perception algorithms.
  • Develop, test, and deploy machine learning models for perception tasks such as object detection and segmentation.
  • Collaborate with cross-functional teams, including software engineers, data scientists, and hardware teams, to deliver end-to-end solutions.
  • Stay up-to-date with industry trends and emerging technologies to innovate and improve perception systems.

What You Will Bring:

  • Minimum 3+ years of experience in sensor calibration, multi-sensor fusion, or related domains.
  • Strong foundation in linear algebra, 3D geometry, coordinate frames, quaternions, probability, Bayesian filtering, and data association.
  • Hands-on experience with intrinsic and extrinsic calibration of LiDAR, cameras, and radar, including geometric calibration, coordinate transforms, and sensor synchronization.
  • Proven experience with perception algorithms for autonomous systems, particularly in the areas of LiDAR, camera, radar, GNSS, or other sensor modalities.
  • Deep understanding of LiDAR technology, point cloud data structures, and processing techniques; experience with PCL or Open3D.
  • Proficiency in sensor fusion for combining data from LiDAR, camera, radar, and GNSS, including handling time synchronization and motion distortion.
  • Solid background in computer vision techniques; experience with OpenCV and object detection models such as YOLO, Faster R-CNN, or SSD.
  • Experience with deep learning frameworks (TensorFlow or PyTorch) for object detection and segmentation tasks.
  • Hands-on experience with multi-object tracking algorithms such as SORT, DeepSORT, Kalman Filters, UKF, IMM, or JPDA.
  • Strong programming skills in C++ and Python; familiarity with geometric optimization libraries.
  • Familiarity with ROS2 for perception-based autonomous systems development.
  • Experience with parallel computing for real-time performance optimization (e.g., CUDA, OpenCL).

Pay Range: $95,000-$140,000 a year

Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.

Work Requirements: This role is considered an on-site position located in Northville, MI, USA

  • You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours.  

Benefits

  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance
  • Employer paid Life Insurance, Short- & Long-Term Disability


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