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# Lead UAS Systems & Edge AI Architect

- **Company:** Promethion Industries
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Linux, Linux on Embedded Systems, Middleware, Hardware Interface Design, Machine Learning, Graphics Processing Unit (GPU), Robot Operating System, Real Time Systems, Low Latency
- **Published:** November 12, 2026
- **Apply:** https://join.com/companies/promethionio/16939273-lead-uas-systems-and-edge-ai-architect?pid=275dea3b8dc97b644e28&oid=995df923-54d2-4749-9bef-d329ed54f7e3

## About the Role

* Significant hands-on experience architecting and deploying complex robotic or autonomous systems.
 * Strong experience with real hardware - not simulation-only development.
 * Experience deploying perception, autonomy or AI workloads onto embedded / edge compute.
 * Strong understanding of robotics software architecture, sensor pipelines and real-time systems.
 * Solid C++ and Linux background.
 * Experience with ROS / ROS2 or comparable robotics middleware.
 * Strong understanding of embedded compute, networking and hardware interfaces.
 * Ability to reason across perception, estimation, planning, flight control and embedded systems.
 * Proven ability to move quickly from system concept to working prototype.
 * Comfortable working directly with flight hardware, logs, telemetry and test equipment.
 * Proven experience taking at least one complex robotic or autonomous system from prototype to deployed operation.

## Description

* Define how flight control, edge compute, sensors, perception, state estimation, autonomy, RF/C2 and payload systems work together as one aircraft.
 * Define and maintain clear subsystem interfaces, timing budgets, compute budgets and integration.
 * Turn research prototypes into deployable airborne systems with clear interfaces, timing requirements and compute allocation.
 * Architect the onboard compute stack across flight controllers, embedded Linux systems, GPUs and dedicated accelerators.
 * Make pragmatic decisions between ROS2, existing middleware and custom high-performance runtime components.
 * Lead rapid integration of new cameras, sensing modalities, AI models and autonomy algorithms onto flying platforms.
 * Work directly with the aircraft, flight-test team and engineering leads to identify system bottlenecks and resolve them quickly.
 * Drive the system from laboratory prototypes toward robust, repeatable field operation.
 * Maintain a strong understanding of weight, power, thermal, latency, bandwidth and reliability constraints.
 * Own technical quality across subsystem boundaries and prevent local engineering decisions from compromising overall system performance.