Director of Autonomy

AeroVect

$130K — $180K *
US-Anywhere
+ 3 other locationsRemote
Aerospace & Defense
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 15+ years of hands-on experience in building production autonomy systems
  • Proven track record of shipping autonomy components on real vehicles
  • Experience managing an autonomy team of 15+ engineers
  • Expert in running the operational cadence of an autonomy organization
  • End-to-end ownership of the autonomy stack
  • Fluent in modern deep learning applications for autonomy
  • Proficient in ROS / ROS 2 and distributed on-vehicle compute systems

Responsibilities

  • Own the technical direction of the entire autonomy stack
  • Set and manage the multi-year technical roadmap
  • Lead and manage the autonomy team across all modules
  • Interface with other departments like Systems, Safety, and Product
  • Participate in design reviews and debug complex problems
  • Ensure delivery against the company's autonomy roadmap

Benefits

  • Flexible work environment that fosters hands-on leadership
  • Opportunities for professional growth in a cutting-edge field
  • Access to a passionate team dedicated to innovation
  • Engagement in meaningful projects that directly impact vehicle autonomy
  • Collaboration with cross-functional teams to shape the future of the industry
Full Job Description
We are hiring a Director of Autonomy to lead our autonomy organization end-to-end. You will manage the entire autonomy team (Perception, Prediction, Planning, Controls, and Localization), own the technical direction across the stack, and be accountable for both the technical roadmap and the team that delivers it. You will report directly to the VP of Engineering.

This is a hands-on leadership role. We are looking for a leader who is excellent both at the systems level and at execution - someone with deep technical credibility who is also strong at managing, hiring, and scaling an autonomy organization.

You Will

Own the entire autonomy stack - Perception, Prediction, Planning, Controls, and Localization - end-to-end, technically and organizationally.
  • Technical strategy. Set and own the multi-year technical roadmap for the autonomy stack, including the long-term architectural direction across modular and end-to-end approaches.
  • Team and execution. Manage the autonomy team across all modules. Build the org structure, hire the senior talent, run the operating cadence, and be accountable for delivery against the company's autonomy roadmap.
  • Cross-functional ownership. Be the primary autonomy interface to Systems, Safety, Platform, Hardware, Simulation, and Product. Own the trade-offs that span the boundary between autonomy and the rest of the company.
  • Stay technical. This is not a hands-off leadership role. You are expected to be in design reviews, to push back on technical decisions with substance, and to credibly debug the hardest problems with the team.

You Have
  • 15+ years of hands-on experience building production autonomy systems, with strong technical depth across multiple modules (localization, perception, prediction, planning, controls). You think at the level of the autonomy system, not a single module.
  • Demonstrated track record of shipping autonomy components that have run in production on real vehicles at non-trivial scale - not just research prototypes or simulation results.
  • Direct management experience of an autonomy or robotics team of 15+ engineers, including senior and staff-level ICs. You have hired, leveled, and grown autonomy talent before.
  • Track record of running the operating cadence of an autonomy organization - planning, prioritization, technical reviews, performance management - without losing the technical edge that makes the team trust you.
  • Demonstrated end-to-end ownership of an autonomy stack.
  • Fluency with modern deep learning for autonomy, including the practical realities of training, evaluation, deployment, and lifecycle management of models that have to work in the real world.
  • Experience working in or with ROS / ROS 2 and the distributed-systems realities of on-vehicle compute (real-time constraints, IPC, fault containment).
  • A bias for execution. You ship. You close out problems. You convert ambiguity into a plan and the plan into running code on a vehicle.


We Prefer
  • Strong software engineering fundamentals in C++ and Python. You write or review code that other senior engineers want to extend and trust in a safety-relevant system.
  • Experience with safety-critical or functional-safety-relevant systems (ISO 26262, ISO 13849, SOTIF, or aerospace equivalents).
  • Experience operating in an Operational Design Domain that involves heavy interaction with humans, mixed traffic, or unstructured environments.
  • Familiarity with simulation-driven verification and the use of simulation as part of a CI/CD pipeline for autonomy.


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