Director of Autonomy

AeroVect

Director of Autonomy overseeing the autonomy organization at AeroVect, managing teams and technical direction for aviation systems. Responsible for the entire autonomy stack and collaborating with multiple cross-functional teams.

Posted 7/17/2026full-timeSouth San Francisco • California • 🇺🇸 United StatesLead💰 $300,000 - $350,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in managing and owning the autonomy stack, including Perception, Prediction, Planning, Controls, and Localization. Proven ability to lead a large team of engineers while ensuring the successful delivery of autonomy components in production environments.

Highest-signal resume keywords

15+ Years Experience In Autonomy SystemsEnd-To-End Ownership Of Autonomy StackManagement Of 15+ EngineersFluency With Modern Deep LearningExperience With ROS / ROS 2

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production Autonomy SystemsLocalizationPerceptionPredictionPlanningControlsTechnical Roadmap DevelopmentDesign ReviewsExecution BiasAutonomy Component Shipping

Soft Skills

Technical Decision-MakingOrganizational Management

Industry Keywords

Autonomy StackRoboticsOperating CadenceReal VehiclesNon-Trivial Scale

About the role

Key responsibilities & impact

Own the entire autonomy stack — Perception, Prediction, Planning, Controls, and Localization — end-to-end, technically and organizationally.
Set and own the multi-year technical roadmap for the autonomy stack.
Manage the autonomy team across all modules.
Be the primary autonomy interface to Systems, Safety, Platform, Hardware, Simulation, and Product.
Expected to be in design reviews, to push back on technical decisions with substance.

Requirements

What you’ll need

15+ years of hands-on experience building production autonomy systems
Strong technical depth across multiple modules (localization, perception, prediction, planning, controls)
Demonstrated track record of shipping autonomy components that have run in production on real vehicles at non-trivial scale
Direct management experience of an autonomy or robotics team of 15+ engineers, including senior and staff-level ICs
Track record of running the operating cadence of an autonomy organization
Demonstrated end-to-end ownership of an autonomy stack
Fluency with modern deep learning for autonomy
Experience working in or with ROS / ROS 2
A bias for execution

Benefits

Comp & perks

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