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Autonomous Driving Engineer Jobs in Michigan (NOW HIRING)

Torc Robotics

Senior, Product Manager - Autonomy Scaling

Ann Arbor, MI · On-site +1

$123K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our ... You'll work closely with potential customers, engineering, technical partners, strategy, marketing ...

Torc Robotics

Software Engineer II, Calibration

Ann Arbor, MI · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our ... We are currently seeking a Software Engineer who is enthusiastic about thriving in a hands-on ...

May Mobility

Lead Machine Learning Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

... models for May's autonomous driving, simulation and ML Platform stack. • Leverage emerging ... cross functional Engineers beyond the state of the art. • Define data balance, training ...

Aptiv

Sr. Algorithm Engineer

Troy, MI · On-site

$99K - $136K/yr

  • Medical

  • Life

  • PTO

Senior Algorithm Engineer Why join Aptiv? You'll have the opportunity to work on cutting-edge ... Collaborate with the downstream teams to support the L0-L3 autonomous driving system globally. YOUR ...

Waymo

Technical Program Manager, Vehicle Security

Novi, MI · On-site

$156K - $181K/yr

... autonomous driving system across all existing and new vehicle platforms. * Coordinate and align Waymo internal engineering, product management and operations to design, implement, validate, and ...

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All JobsAutonomous Driving Engineer JobsAutonomous Driving Engineer Jobs in Michigan

Autonomous Driving Engineer information

See Michigan salary details

$51.4K

$119.7K

$171.3K

How much do autonomous driving engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for autonomous driving engineer in Michigan is $119,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $170,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an autonomous driving engineer?

To thrive as an Autonomous Driving Engineer, you need strong expertise in robotics, computer vision, sensor fusion, and machine learning, generally backed by a relevant engineering or computer science degree. Familiarity with programming languages like Python or C++, frameworks such as ROS (Robot Operating System), and simulation tools like CARLA or MATLAB is typically required. Problem-solving, teamwork, and clear communication are important soft skills that help you excel when debugging complex systems and collaborating with multidisciplinary teams. These skills ensure the ability to develop innovative autonomous driving solutions that are safe, efficient, and effective in real-world environments.

What are some common challenges autonomous driving engineers face on the job?

Autonomous Driving Engineers often work on highly complex systems where integrating hardware and software, ensuring sensor reliability, and maintaining safety standards can pose significant challenges. Collaborating across teams—such as hardware engineers, data scientists, and software developers—is a daily part of the role, requiring strong coordination and flexibility. Debugging scenarios in both real-world and simulated environments, handling vast datasets, and keeping up with rapidly evolving technology are also regular parts of the job. These challenges make the work both demanding and rewarding, offering continual learning and professional growth opportunities.

What is an autonomous driving engineer?

An Autonomous Driving Engineer develops software, algorithms, and systems that enable vehicles to drive autonomously. They work on perception, sensor fusion, path planning, and control systems using AI, computer vision, and robotics. Their role involves testing and refining autonomous systems in simulations and real-world environments to ensure safety and reliability.

What are the most commonly searched types of Autonomous Driving Engineer jobs in Michigan?

The most popular types of Autonomous Driving Engineer jobs in Michigan are:

What are popular job titles related to Autonomous Driving Engineer jobs in Michigan?

For Autonomous Driving Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Autonomous Driving Engineer jobs in Michigan look for?

The top searched job categories for Autonomous Driving Engineer jobs in Michigan are:

What cities in Michigan are hiring for Autonomous Driving Engineer jobs?

Cities in Michigan with the most Autonomous Driving Engineer job openings:

Autonomous Driving Engineer jobs near you
Infographic showing various Autonomous Driving Engineer job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,678 per year, or $57.5 per hour.

Machine Learning Engineer, II - 3D Perception

Torc Robotics

Ann Arbor, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
Torc's Multi-Modal Perception team is responsible for developing the machine learning systems that enable our autonomous trucks to perceive and understand the world around them. By combining information from cameras, LiDAR, and other sensor modalities, the team builds production-ready perception capabilities that provide the foundation for safe, reliable autonomous driving.
As a Machine Learning Engineer II - 3D Perception, you'll join a collaborative team of machine learning engineers and researchers focused on solving complex real-world perception challenges. This role is primarily focused on advancing our Bird's Eye View (BEV) perception capabilities by developing, evaluating, and improving production machine learning solutions that support environmental understanding, model robustness, and system performance across Torc's autonomy stack.
What You'll Do
  • Design, develop, and improve machine learning models supporting Torc's perception systems.
  • Own model development and delivery for well-defined perception problem areas, from data preparation and training through evaluation and integration.
  • Write production-quality Python and PyTorch code to support scalable training, evaluation, and inference workflows.
  • Analyze model performance, identify failure modes, and independently troubleshoot issues to improve robustness, accuracy, and generalization.
  • Develop and evaluate perception models leveraging multi-modal sensor data, with an emphasis on camera-based and 3D perception systems.
  • Collaborate with software engineers, infrastructure teams, and autonomy engineers to integrate perception models into larger production software systems.
  • Contribute to improvements in training pipelines, data workflows, experimentation tooling, and developer workflows that accelerate model iteration and deployment.
  • Participate in model architecture discussions and contribute technical recommendations within the team.
  • Lead small technical initiatives or model components with guidance from senior engineers.
  • Support and mentor Machine Learning Engineer I team members on implementation, experimentation, and machine learning best practices.
  • Document technical work, evaluation results, and design decisions to support knowledge sharing and long-term maintainability.

What You'll Need to Succeed
  • Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 3+ years of relevant industry experience, OR Master's degree with 1+ years of relevant experience, or equivalent practical experience.
  • Experience developing machine learning models for computer vision, perception, robotics, autonomous systems, or a closely related domain.
  • Strong programming skills in Python and PyTorch, with experience writing maintainable, production-quality machine learning code.
  • Experience training, evaluating, and improving deep learning models using large-scale datasets.
  • Experience working with image-based and/or 3D perception systems.
  • Solid understanding of deep learning architectures commonly used for perception applications.
  • Experience debugging model behavior, analyzing performance metrics, and proposing practical improvements.
  • Ability to independently execute complex machine learning work within well-defined problem areas.
  • Experience collaborating cross-functionally to integrate machine learning models into larger software systems.
  • Strong problem-solving skills with the ability to operate effectively in an environment with evolving technical challenges and requirements.

Bonus Points
  • Experience developing perception systems for autonomous driving, robotics, or ADAS.
  • Experience with LiDAR, point cloud processing, sensor fusion, BEV representations, or other 3D perception techniques.
  • Experience with temporal perception models or video-based learning.
  • Experience with C++, ROS, or robotics software development.
  • Experience deploying machine learning models into production autonomy or robotics platforms.
  • Experience working with large-scale perception datasets and distributed training environments.
  • Familiarity with perception evaluation frameworks, model validation, and performance benchmarking.
  • Experience improving ML tooling, automation, training workflows, or experimentation infrastructure.
  • Experience leading a small technical initiative or owning a production ML component from development through deployment.

Work Location: For this position, we are open to hiring in Ann Arbor, MI, Blacksburg, VA, Fort Worth, TX office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.
Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102882
Hiring Range for Job Opening
US Pay Range
$153,200-$183,800 USD

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