Autonomy Engineering Manager - Behavior Prediction and Intent

May Mobility • Ann Arbor, MI

23h • $190,000 - $250,000 • Hybrid

About The Position

As the Engineering Manager for Prediction within the Behavior team, you will drive the strategic direction and execution of trajectory and intent prediction systems. You will lead a team of specialized engineers, bridging machine learning and classical robotics architectures to build multi-agent prediction capabilities for the Multi-Policy Decision Making (MPDM) platform. You will partner across autonomy, infrastructure, and remote operations to support safety integration, technical excellence, and scalable talent development.

Requirements

• At least 5 years of experience managing technical teams or leading technical project teams.
• Bachelor’s degree in a relevant technical field, such as Robotics, Computer Science, or Mechanical Engineering, or comparable knowledge or experience.
• Strong leadership skills and ability to lead and manage a team of 5 or more people.
• Ability to mentor technical team members and develop their technical and interpersonal skills.
• Experience working cross-functionally with engineering teams, operations, and external partners.
• Experience delivering projects on time despite high uncertainty.
• Strong verbal and written communication skills, including the ability to communicate complex technical topics to technical and non-technical audiences.
• Data-driven approach and ability to drive the creation and maintenance of team progress metrics and KPIs.
• Advanced knowledge of Jira, Jira reporting, and dashboards.
• Proficiency with business intelligence tools such as AWS QuickSight or Tableau to build scalable operational dashboards and reporting.

Nice To Haves

• At least 7 years of experience managing technical teams or leading technical project teams.
• Master’s or other advanced degree in a relevant technical field, such as Robotics, Computer Science, or Mechanical Engineering.
• Ability to critically interpret large-scale fleet data and insights to validate problem framing and inform decision-making.
• Experience with autonomous vehicles or other robotic platforms deployed in commercial settings.
• Experience with start-ups and scaling an organization.

Responsibilities

• Guide the evolution of intent and prediction architectures, balancing classical robotics with data-driven machine learning approaches.
• Partner with Behavior, Modeling, Perception, and Remote Assistance teams to maintain long-term architectural roadmaps and align deliverables with leadership strategy.
• Integrate safety metrics, risk assessments, and Operational Design Domain (ODD) requirements into team delivery and testing milestones.
• Collaborate with infrastructure and tooling teams to accelerate iteration cycles.
• Incorporate Root Cause Analyses (RCAs) into the team's backlog and provide engineering escalation support when field issues require deep domain expertise.
• Enforce rigorous code quality standards and design reviews, ensuring complete engineering ownership of deliverables.
• Grow, onboard, mentor, and continuously develop engineering talent through internal development and external hiring.

Benefits

• Comprehensive healthcare coverage, including medical, dental, vision, life, and disability plans; eligible domestic partners must have resided with the employee for at least one year.
• Health Savings Accounts and Flexible Spending Accounts for healthcare and dependent care.
• Retirement benefits, including an immediately vested employer safe harbor match.
• Generous paid parental leave and a phased return to work.
• Flexible vacation policy and paid company holidays.
• Total Wellness Program with resources for overall wellbeing.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager