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Autonomy Integration Planning Engineer

Job in Mission, BC, Canada
Listing for: Business Instincts Group (BIG)
Full Time position
Listed on 2026-02-11
Job specializations:
  • Engineering
    Robotics, Systems Engineer
Job Description & How to Apply Below
5+ years of hands-on robotics/autonomy experience in real-world deployments (UGV/off-road strongly preferred).

Proven experience integrating autonomy with physical systems (vehicle interfaces, sensors, safety controls).

Strong mission planning and navigation fundamentals: route planning, waypoint/coverage planning, and constrained execution (geofencing/exclusion zones).

Localization experience in GPS/GNSS-heavy environments (RTK GNSS, IMU/INS fusion, handling dropouts and degraded positioning).

Vehicle and/or machine integration experience (e.g., CAN/J1939, embedded I/O, drive-by-wire or actuator control interfaces).

Strong software engineering skills in C++ and/or Python, including debugging, logging, and clean interface design.

Ability to produce practical test plans, acceptance criteria, and evidence from field tests (not just lab demos).

Comfort working in the field around equipment and collaborating directly with operations and vendor/OEM teams.

Safety-first mindset: designs fail-safe modes, stop rules, and clear operator override mechanisms.

Preferred qualifications (nice-to-have)

Experience with heavy equipment autonomy (mining, construction, agriculture, defense UGVs).

Experience adapting or integrating an OEM autonomy platform/SDK (rather than building an autonomy stack from scratch).

ROS/ROS2 or comparable robotics middleware experience.

Functional safety exposure (hazard analysis, safety cases, IEC 61508/ISO 13849 style thinking) and/or safety-critical systems background.

Experience designing supervised autonomy / human-in-the-loop operations (pause/resume, safe stop, takeover, degraded modes).

Familiarity with sensor redundancy approaches (e.g., LiDAR/vision aiding for localization or obstacle awareness).

Practical traits we expect

Executes under messy, real-world conditions (dust, vibration, comms loss, imperfect sensor data) without hand-waving.

Communicates clearly with non-technical stakeholders; documents assumptions, constraints, and decisions.

Comfortable saying "no" when safety or test evidence is insufficient.

Bias toward simple, robust solutions over clever, fragile ones.

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