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Publié il y a 2 mois

Mission Autonomy Development Engineer

@ Dominion Dynamics

Ottawa, ON · Montréal, QC

Sur placeTemps plein
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Dominion Dynamics is hiring a Mission Autonomy Development Engineer to build the autonomy that flies its Autonomous Collaborative Platform for RCAF and NORAD missions. The role covers designing hybrid behaviour trees and learned policies, validating them in simulation, and deploying them onto test platforms. It is a full-time position with competitive base salary, company equity and comprehensive health benefits.

Responsabilités :

  • Elicit tactical behaviour from pilots, tacticians and capability stakeholders
  • Design hybrid behaviour trees and learned policies
  • Build multi-agent teaming and target engagement behaviours
  • Build and instrument scenarios in AuraSim
  • Deploy and test behaviours on hardware through HIL, SIL and flight test

Résumé des exigences :

  • Strong Python and/or C++ software engineering skills
  • Experience with behaviour trees and/or reinforcement or imitation learning
  • Simulation-based autonomy development and validation
  • Experience taking systems from simulation to real platforms
  • Sound practices: version control, code review, CI and testing

Outils et compétences

Avantages mentionnés

Assurance maladie
Source et dates

Site carrière / système de candidatures · ashby

Date publiée par l’employeur
2026-09-03
Première détection par notre source
2026-10-09
Mise à jour du dossier source
2026-10-20

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauIntermédiaire
DomaineGénie
Heures par semaine40 (estimé)
Milieu de travailBureau, Laboratoire, Chez les clients
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
Avantages mentionnésActions ou participation

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Dominion Dynamics

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

Dominion Dynamics is building a modern Canadian defence prime.

Description complète de l’entreprise

Dominion Dynamics is building the interoperable command layer for the Arctic. Our platform unifies diverse sensors, autonomous assets, and human operators into a single, real-time operating picture.

Abonnés LinkedIn
5 998
Personnes associées sur LinkedIn
30
Catégories d’activité
  • Information Technology
  • National Security
  • Remote Sensing
  • Military
  • Government
Autres noms enregistrés
  • Dominion Dynamics
Le profil indique une agence de recrutement
Non
Investissement total déclaré
18 734 400

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

Dominion Dynamics is building the interoperable command layer for the Arctic. Our platform unifies diverse sensors, autonomous assets, and human operators into a single, real-time operating picture.

ChampValeur
SecteurDefense and Space Manufacturing
Taille11-50 employees
Type d’organisationPrivately Held
Fondée en2025
Offres sur Jobsy18
LinkedInVoir la page
Description

Reports to: Senior Vice President, Aerospace Engineering

Type: Full-Time

The Role

You will develop the autonomy that flies the platform. Dominion Dynamics is building a sovereign Autonomous Collaborative Platform (ACP) for RCAF and NORAD missions. Our autonomy and C2 layer, AuraNet, is a Canadian alternative to closed foreign stacks, purpose-built for the Arctic operating environment and near-peer threat, and our digital proving ground, AuraSim, lets us design, train, and validate autonomous tactical behaviour before it ever reaches a test platform.

Working directly with mission systems, tactics, simulation, and test stakeholders, you'll turn operational intent into executable behaviour using a hybrid approach: behaviour trees for structured, auditable, doctrine-anchored tactics, and learned policies (RL/IL) where adaptive, high-dimensional decision-making wins. You'll then prove that behaviour in simulation and help roll it out onto test platforms.

This is a build-and-deploy role, not a research-only role. You'll own autonomy end-to-end — from a tactician's whiteboard to a policy running on a test aircraft. The behaviours you build won't sit in a paper; they'll fly.

What You'll Do

  • Elicit and codify tactical behaviour. Work with pilots, tacticians, and capability stakeholders to translate combat employment into clear, testable autonomy requirements.

  • Design hybrid autonomy. Architect and implement behaviour trees for structured tactical logic and integrate learned policies where they outperform, deciding deliberately where each belongs and how they hand off. Map behaviours against our PA/MA/CA autonomy taxonomy and Capability Register.

  • Develop teaming behaviour. Build multi-agent coordination, target engagement, and survivability across cooperating platforms.

  • Build in simulation. Stand up and instrument scenarios in AuraSim to develop, train, and stress behaviours against representative threat and mission sets across our operating environment.

  • Train and validate learned policies. Work within our RL training pipeline — reward shaping, curriculum design, and large-scale rollouts — and validate policy behaviour against doctrine and mission requirements.

  • Verify and validate. Test behaviours through the full V&V lifecycle, including safety and constraint enforcement.

  • Deploy and test on hardware. Take behaviours from sim to test platforms: integration with the runtime autonomy stack, HIL/SIL testing, flight-test support, and closing the loop on observed vs. simulated performance.

  • Analyse mission data. Use mission logs and performance data to diagnose failures and refine behaviour models.

  • Collaborate across the team. Work across simulation, sensors/perception, hardware, and flight test to integrate autonomy end-to-end.

What You Bring

  • Strong software engineering fundamentals (Python and/or C++), with experience building autonomous or decision-making systems.

  • Hands-on experience with behaviour trees and/or learned policies (reinforcement or imitation learning) — ideally both, and a clear sense of when to use which.

  • Experience developing and validating autonomy in simulation environments, including scenario design and instrumentation.

  • Comfort taking systems from simulation to real platforms — integration, testing, and iterating against real-world performance.

  • Ability to work directly with operational stakeholders and turn tactical intent into engineering requirements.

  • Sound software practices — version control, code review, CI, and test discipline.

Nice to Have

  • Tactical knowledge of aircraft combat employment: BVR/WVR engagement, sensor and weapon employment, EW/survivability, or air battle management. Background as aircrew, a weapons/tactics instructor, an operational analyst, or an equivalent test/training environment is a major asset.

  • Experience in a test-and-evaluation or flight-test setting.

No defence background required.

We've hired people who didn't tick every box. If this is the work you want to do, please apply anyway.

Why Join Us

Building something meaningful starts with the right people.

At Dominion Dynamics, you’ll:

  • Shape Canada’s future by building real defence capability for the CAF and our allies.

  • Make decisions that ship in a high-trust environment with short feedback loops and rapid iteration.

  • Move fast, field faster, and work directly with the operator — our systems are in the field with the CAF now.

  • Have an impact from day one with equity, responsibility, and direct access to leadership.

If you’re curious, hands-on, and driven by the opportunity to make a difference, this is where you belong!

Compensation & Benefits

  • Competitive base salary and company equity*

  • Comprehensive health benefits

  • Additional equity granted based on impact*

We use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada.

*Equity awarded to full time employees only.

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