ADAS Planning Algorithm Engineer

Description

This role sits within the Intelligent System: Sensors & Compute group. The position is based in Troy, MI.

You will lead the development, implementation and validation of behavior and motion planning algorithms for ADAS and automated driving systems. The work covers algorithm design, simulation and vehicle testing, performance analysis, and working alongside perception, controls, systems and software engineers.

Responsibilities

• Design, build and implement advanced behavior and motion planning algorithms for ADAS and automated driving.
• Develop solutions for complex urban and highway scenarios that involve dynamic agents and uncertain surroundings.
• Validate algorithm performance through simulation, SIL and HIL testing, and real-world vehicle evaluation.
• Analyze driving data to find performance gaps, their root causes, and opportunities for improvement.
• Carry out in-vehicle testing, debugging and calibration using rapid-prototyping and data analysis tools.
• Optimize algorithms so they run in real time on embedded hardware.
• Define, track and report algorithm performance metrics and KPIs.
• Work with perception, controls, systems, software and product teams across the development lifecycle.
• Make sure the work complies with ASPICE, ISO 26262 and SOTIF processes and requirements.

Requirements

• A Master's degree in Electrical Engineering, Computer Science, Robotics, Mechanical Engineering or a related technical field.
• At least 2 years of industry experience developing algorithms in MATLAB and/or C/C++.
• At least 2 years of experience in behavior planning, motion planning, trajectory generation, decision making or autonomous vehicle navigation.
• Experience building automotive software or systems for ADAS, automated driving, robotics, automation or related areas.
• Experience across the automotive product lifecycle, from requirements through validation and release.
• Working knowledge of Git/Gerrit, Jira, Confluence or similar development and collaboration tools.
• Experience with requirements management tools such as Polarion or an equivalent.
• Strong problem-solving and data analysis skills.
• Preferred: advanced knowledge of behavior planning, motion planning, trajectory optimization, prediction-awareness and decision-making under uncertainty.
• Preferred: deep experience with graph-based planning, optimization-based planning and MPC.
• Preferred: experience integrating machine learning components into autonomous driving stacks.
• Preferred: experience with sensor fusion outputs and working with perception systems.
• Preferred: experience tuning and validating ADAS features against objective performance metrics.

Conditions

The role is based in Troy, MI.

Relocation assistance may be available.

Benefits

• Private health care from day 1 of employment.
• Life and accident insurance.
• Paid time off covering holidays, vacation, designated time off and parental leave.
• Discount programs with various manufacturers and retailers.
• Learning and development opportunities.
• Tuition reimbursement.
• Recognition for innovation and excellence.
• Opportunities to give back to the community.