Autonomy Engineering Manager - Behavior Prediction and Intent

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

• →Guide the evolution of intent and prediction architectures, balancing classical robotics with data-driven machine learning approaches.
• →Partner cross-functionally 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 both internal development and external hiring.

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

Required

• 5+ years experience in management of technical teams or leading technical project teams
• Bachelor’s Degree in a relevant technical field (Robotics, Computer Science, Mechanical Engineering, etc)
• Strong leadership skills and ability to lead and manage a team of 5+ people
• Ability to mentor technical team members and grow their technical and inter-personal skills
• Experience working on cross-functionally with other engineering teams, operations, and external partners  
• Experience delivering projects with high uncertainty on time
• Strong verbal and written communication skills, with ability to communicate complex technical topics to both technical and non-technical audiences
• Data driven and able to drive creation and maintenance of metrics/KPIs that measure progress for your team
• Advanced knowledge of Jira and Jira reporting and dashboards
• Proficiency with BI tools (e.g., AWS QuickSight, Tableau) for building operational dashboards and reporting that scale with fleet growth

Desirable

• 7+ years experience in management of technical teams or leading technical project teams
• Masters or other advanced degree in a relevant technical field (Robotics, Computer Science, Mechanical Engineering, etc)
• Ability to critically interpret large-scale fleet data and insights to validate problem framing and drive informed decision-making.
• Experience with autonomous vehicles or other robotic platforms deployed in commercial settings
• Experience with start-ups and scaling an organization

• Standard office working conditions which includes but is not limited to:
• Standard office working conditions which includes but is not limited to
• Prolonged sitting
• Prolonged standing
• Prolonged computer use
• Travel required?   Moderate: 11%-25%

• REMOTE or HYBRID role based out of Ann Arbor, MI
• Hybrid employees work remotely from their home or alternative work space as well as from one of our offices or sites at an agreed upon cadence set by their leader and based on the nature of their role. _ number of days per week/month or as otherwise agreed to with manager (job function- job dependent) 2 to 3 days per week or 8 days per month in office.  Weekly 1-4 days per week 
• Remote employees work primarily from home or an alternative work space.