Autonomy Engineering Manager - Behavior Prediction and Intent
M
May MobilityAutonomous vehicles
Location: Ann Arbor, MI - Remote; REMOTE or HYBRID role based out of Ann Arbor, MIFull-TimeManager
Salary190,000 - 250,000 USD per year
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Job Details
- Experience
- 5+ years experience in management of technical teams or leading technical project teams; desirable: 7+ years experience in management of technical teams or leading technical project teams
- Required Skills
- Machine LearningJiraTableau
Requirements
- Have 5+ years of experience managing technical teams or leading technical project teams.
- Hold a bachelor’s degree in a relevant technical field, such as Robotics, Computer Science, or Mechanical Engineering.
- Demonstrate the ability to lead and manage a team of 5+ people.
- Be able to mentor technical team members and develop their technical and interpersonal skills.
- Have experience working cross-functionally with engineering teams, operations, and external partners.
- Have experience delivering projects with high uncertainty on time.
- Communicate complex technical topics effectively to technical and non-technical audiences.
- Use data to drive the creation and maintenance of team progress metrics and KPIs.
- Have advanced knowledge of Jira, Jira reporting, and dashboards.
- Be proficient with BI tools such as AWS QuickSight or Tableau for operational dashboards and reporting.
- Desirable: 7+ years of technical team management or technical project leadership experience.
- Desirable: a master’s or other advanced degree in a relevant technical field.
- Desirable: experience interpreting large-scale fleet data, working with commercially deployed autonomous vehicles or robotic platforms, or working at startups and scaling organizations.
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 on architectural roadmaps and deliverables.
- 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 backlog and provide engineering escalation support for field issues.
- Enforce code quality standards and design reviews, ensuring engineering ownership of deliverables.
- Grow, onboard, mentor, and develop engineering talent through internal development and external hiring.
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