Senior Autonomy Architect / Lead Autonomy Engineer

We are seeking a senior technical leader to define and drive the endtoend architecture of nextgeneration autonomy systems for unmanned platforms. This role spans beyond algorithms you will orchestrate sensing, perception, localization, mapping, planning, and platformlevel integration into a safe, realtime system.

Key Responsibilities

• Own and define autonomy system architecture across sensing, perception/AI, fusion, mapping, planning, and navigation.
• Translate mission requirements into autonomy capabilities, performance budgets, and architectural tradeoffs.
• Define sensor suite and compute platform strategy, balancing SWaP, redundancy, bandwidth, and thermal margins.
• Establish clean module interfaces, APIs, data flows, and safety mechanisms.
• Lead vehiclelevel integration (sensor placement, networking, EMI/EMC, calibration).
• Set up validation pipelines (simulation, SIL/HIL, regression testing).
• Guide subsystem teams to ensure architectural consistency and integration quality.
• Debug crossmodule/system issues and enforce reliability mechanisms.
• Collaborate across mechanical, electronics, embedded, controls, QA, and fieldtesting teams.
• Drive longterm autonomy roadmap and mentor engineers.
• Represent autonomy architecture in stakeholder reviews, demos, and customer/leadership discussions.

Required Skills

• Bachelors in Robotics/CS/Mechatronics; Masters/PhD in Robotics, Autonomous Systems, AI/ML, Computer Vision, or Control Systems is preferred.
• Deep knowledge of autonomy stack, AI/ML, SLAM, mapping, planning.
• Expertise in realtime distributed systems, GPU/edge deployment, ROS2/DDS.
• Strong vehicle integration, validation tooling, debugging, safety frameworks.
• Proven leadership and crossdiscipline collaboration.