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Autonomous Systems Engineer Jobs in Michigan (NOW HIRING)

The Autonomous Mobile Robot (AMR) Systems Engineer develops the design and implementation of systems that integrate AMR hardware and associated software. The role involves working closely with ...

The Autonomous Mobile Robot (AMR) Systems Engineer develops the design and implementation of systems that integrate AMR hardware and associated software. The role involves working closely with ...

AMR Systems Engineer

Grand Rapids, MI · On-site

$56K - $82K/yr

The Autonomous Mobile Robot (AMR) Systems Engineer develops the design and implementation of systems that integrate AMR hardware and associated software. The role involves working closely with ...

Proven experience with perception algorithms for autonomous systems, particularly in the areas of ... Strong programming skills in C++ and Python; familiarity with geometric optimization libraries.

... autonomous driving and core subsystems • Define the functional safety concept for the system ... engineers to ensure design meets safety requirements. • Contribute to the decision making at ...

Feature Systems Engineer

Dearborn, MI · On-site

$125K - $188K/yr

We have opportunities around the world for you to contribute to such advancements as autonomy ... Master's degree or foreign equivalent in Automotive Engineering, Systems Engineering, Mechanical ...

Senior SOTIF Engineer

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Join our SW Systems and Safety - Behaviors & Autonomy Team, where we work at the forefront of autonomous trucking and L4 systems. Our team collaborates across safety, systems engineering, product, V ...

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$110.9K

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How much do autonomous systems engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for autonomous systems engineer in Michigan is $110,880.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,400.00 and $136,800.00 per year, depending on experience, location, and employer.

What does an Autonomous Systems Engineer do?

An Autonomous Systems Engineer designs, develops, and optimizes self-governing systems that operate with minimal human intervention. This includes robotics, self-driving vehicles, drones, and AI-driven automation. They work with sensors, machine learning, control systems, and software to ensure reliable decision-making and adaptability in dynamic environments. Their role often involves testing, simulation, and integration of hardware and software components to improve system efficiency and safety.

What are the key skills and qualifications needed to thrive in the Autonomous Systems Engineer position, and why are they important?

To thrive as an Autonomous Systems Engineer, you need strong expertise in robotics, control systems, sensor integration, and proficiency in languages such as Python or C++, often supported by a relevant engineering degree. Familiarity with simulation tools like ROS (Robot Operating System), MATLAB/Simulink, and experience deploying algorithms on embedded hardware are typically required. Effective problem-solving, strong teamwork, and clear communication are standout soft skills in this field. These competencies are crucial for designing reliable autonomous solutions, troubleshooting complex issues, and collaborating across multidisciplinary teams for successful system deployment.

What are some common challenges faced by Autonomous Systems Engineers and how are they addressed?

Autonomous Systems Engineers often encounter challenges such as integrating diverse hardware and software components, achieving robust sensor fusion, and ensuring system reliability in unpredictable environments. Addressing these challenges typically involves rigorous simulation testing, iterative algorithm development, and close collaboration with cross-functional teams in software, hardware, and systems engineering. Engineers must also stay updated with advancements in machine learning and robotics to continually refine and enhance system capabilities. Employers support these efforts through ongoing training, collaborative problem-solving sessions, and investment in advanced prototyping resources.

What are the most commonly searched types of Autonomous Systems Engineer jobs in Michigan? The most popular types of Autonomous Systems Engineer jobs in Michigan are:
What are popular job titles related to Autonomous Systems Engineer jobs in Michigan? For Autonomous Systems Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Autonomous Systems Engineer jobs in Michigan look for? The top searched job categories for Autonomous Systems Engineer jobs in Michigan are:
What cities in Michigan are hiring for Autonomous Systems Engineer jobs? Cities in Michigan with the most Autonomous Systems Engineer job openings:

Autonomous Driving Vehicle Perception Engineer

Quest Global

Northville, MI

$80K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Quest Global rating

7.4

Company rating: 7.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

235th of 352 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: $80,000-$100,000 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

Employment Type: FULL_TIME