Engineer I - Algorithm

Job Description

The Robotics and Innovation team develops ZF’s next generation of edge-connected driver assistance and automated driving functions. Work spans low-speed parking systems through Level 3 capabilities on highways and in complex urban environments. The team combines classical estimation and perception methods with modern C++ software engineering to deliver robust, production-oriented solutions. Engineers collaborate closely with internal controls, software, safety, and vehicle-integration groups as well as external suppliers. Entry-level members contribute to real functions while building depth in probabilistic robotics, sensor fusion, and automotive software practices. This position is part of ZF’s ADAS & HPC business, which is entering an exciting new phase of growth and transformation within the advanced automotive technology space. The business unit is planned for divestiture, creating a unique opportunity to help shape the future of next-generation driver assistance and high-performance computing technologies.

What you can look forward to as Entry-Level Robotics and Innovation Engineer:

• Support design and implementation of driver assistance functions from parking assistance to higher-level automated driving features
• Develop and test modern C++ modules for perception, sensor fusion, estimation, and related algorithms
• Work in a CI/DevOps environment using Git and established software development workflows
• Collaborate with cross-functional teams (controls, software, safety, integration) and suppliers
• Contribute to prototyping and concept evaluation, including service-based frameworks such as ROS
• Participate in in-vehicle rapid prototyping of features and intellectual property
• Gain structured exposure to safety-critical embedded development practices

Your Profile as Entry-Level Robotics and Innovation Engineer:

• Bachelor of Science (or equivalent) in Mechanical Engineering, Electrical Engineering, Mathematics, Robotics, or a related field; Master’s preferred
• 0–2 years of relevant experience; internships, co-ops, research assistantships, senior design, or substantial academic/personal projects accepted
• Working proficiency in object-oriented C++ (C++14 or later), shown through coursework, internships, or projects
• Familiarity with Git and basic software development practices (branching, reviews, CI concepts)
• Foundational knowledge of probabilistic robotics and related methods (State Space Modeling, Kalman filtering, or Bayesian approaches)
• Interest in convex optimization, optimal control, or model-predictive control is a plus
• Strong analytical skills, willingness to learn production automotive software practices, and clear technical communication
• Team-oriented working style; prior exposure to embedded systems, ROS, or ADAS internships is advantageous
• Must be based in southeast Michigan

What We Offer:

• A supportive collaborative team environment
• Annual Incentive Plan
• Paid Vacation 
• Personal Time
• 401k Plan
• Health Care Benefits
• Paid Holidays 
• A strong diversity culture
• Supportive Employee Groups and community outreach activities