May Mobility
Director, Autonomy Perception
$220K–$300K
USA - Remote +1 · Remote · Director · Full-time · Posted Jul 13, 2026
- Location
- USA - Remote
Ann Arbor, Michigan, United States - Experience
- 10+ years of engineering experience; 7+ years of software-focused engineering experience; 5+ years of management experience is desirable.
- Education
- PhD or masters degree in a relevant, highly technical field (e.g. robotics, computer science, computer engineering, aerospace engineering, physics).
About the job
Leads the Autonomy Perception team’s strategy, technical roadmap, and engineering execution to improve and deploy perception systems for autonomous vehicles.
What you'll do
- Set the perception strategy and roadmap, define performance KPIs and milestones, and coordinate plans with other autonomy functions.
- Lead technical advances in detection, classification, tracking, prediction, and sensor fusion; support commercial deployment and issue resolution.
- Manage and grow the engineering team, including hiring, project execution, and cross-functional collaboration.
What they ask for
- 10+ years of engineering experience.
- PhD or masters degree in a relevant, highly technical field (e.g. robotics, computer science, computer engineering, aerospace engineering, physics).
- 7+ years of software-focused engineering experience solving challenging robotics problems in mission critical software and/or robotic systems.
- Experience leading a team of 10+ engineers, plus prior individual-contributor success developing and deploying innovative solutions in the autonomous vehicle or related space.
Nice to have
- 5+ years of management experience; experience developing and/or using MPDM.
- Previous experience growing a team and making hiring decisions; deep understanding of autonomous vehicles and the state of the art in autonomy; previous startup experience.
Pay
$220,000 — $300,000 USD (base salary)
Tools
MPDM, machine learning, end-to-end learned systems, tracking systems, multi-sensor fusion, behavior prediction
AI focus
Leads development of autonomous-vehicle perception technology, including machine learning, detection, segmentation, tracking, sensor fusion, and behavior prediction.
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