Director of Autonomy

You set the technical direction for autonomy at Dominion. You own the autonomy roadmap end to end: what we build, in what order, and how it integrates with AuraNet — our C2, mesh, and tasking layer — so that autonomy is a capability every Dominion product inherits rather than something bolted onto each platform. The function sits across hardware and software today and is expected to become its own department as it grows. You are the person who decides what that becomes.

Responsibilities

• Set the autonomy strategy and roadmap, and turn it into a sequenced technical plan with real milestones — capability by capability, platform by platform.
• Define how autonomy integrates with AuraNet: tasking, telemetry, mesh, and edge compute, designed for disconnected and bandwidth-constrained operation from the start.
• Build the autonomy architecture across domains — uncrewed air, ground, and maritime systems working from the same policy and tasking foundation, not per-platform one-offs.
• Make the call on where deterministic policies belong and where probabilistic ones do, and set the standard for how both are trained, evaluated, and trusted before they reach an operator.
• Grow the autonomy team — hire, structure, and lead the engineers who take it from a cross-functional effort to a standing function.
• Work shoulder to shoulder with hardware, software, and simulation, and get to the field yourself: trials, integration, and operator feedback, in days not quarters.

Requirements

• A senior engineering leader who has personally built and deployed autonomous systems in real-world environments, not only in simulation or research.
• Autonomy experience across all three domains — robotics, aerospace, and marine. This one is non-negotiable; we are building a stack that has to work on all three.
• A track record of scaling autonomy capability and the team behind it, from a small group to a function with its own roadmap and headcount.
• Strong command of reinforcement learning and autonomy policies, including how policies are evaluated, bounded, and made safe for fielded systems.
• Hands-on experience with both deterministic policies (the system follows predefined rules consistently) and probabilistic ones (the system decides under uncertainty and changing conditions), and clear judgement about which the mission calls for.
• Based in Ottawa, or ready to relocate — this role is on-site with the team and close to the customer.

Nice to have

• Experience with mission autonomy and multi-agent or collaborative tasking, including collaborative autonomy tasking language work.
• Familiarity with ROS 2 and edge compute on constrained hardware.
• Simulation-in-the-loop and sim-to-real experience for training and validating autonomy before it flies, drives, or sails.
• Exposure to defence or dual-use programs, interoperability standards, or work alongside operators.
• Experience with systems fielded in harsh or Arctic conditions.

Benefits

• Competitive base salary and company equity*
• Comprehensive health benefits
• Additional equity granted based on impact*