System Engineer Robotics

Compensation:
Up to $200,000 base + competitive equity

We’re partnering with a venture-backed defence technology company building a next-generation maritime sensing platform deployed globally across distributed autonomous systems. The team is tackling problems at the intersection of robotics, edge AI, satellite communications, and large-scale sensing infrastructure, delivering capabilities that do not currently exist anywhere else at operational scale.

They are looking for a Robotics Systems Engineer with 4+ years of experience to help scale a multimodal edge sensing platform operating in harsh maritime environments. This is a high-ownership role suited to someone who thrives in ambiguity, moves quickly, and has experience shipping reliable production systems, not just prototypes.

You’ll join a lean, mission-driven engineering organisation where the work is highly visible, technically demanding, and directly tied to real-world operations.

• Own the reliability, stability, and scalability of the robotics middleware stack across deployed field systems.
• Reduce technical debt through targeted architectural improvements and rewrites while maintaining backwards compatibility with already deployed hardware.
• Build and maintain ROS2-based middleware utilities orchestrating multimodal sensor systems including:

• Radar
• Cameras, including thermal and infrared
• SDR
• IMU
• GPS
• Acoustic sensors
• LiDAR

Develop software running on NVIDIA Jetson edge hardware operating in bandwidth-constrained and environmentally harsh maritime conditions.

Optimise data transmission over satellite networks, including compression, prioritisation, buffering, and recovery strategies.

Contribute to edge-to-cloud delivery pipelines feeding downstream AWS-based intelligence and analytics systems.

Build diagnostics tooling, automated validation frameworks, and deployment health monitoring for long-duration unattended systems.

Participate in operational support and on-call rotation for deployed assets.

Collaborate closely with AI, platform, and backend engineering teams to define shared interfaces, observability tooling, and system abstractions.

• 4+ years of experience in robotics, distributed systems, embedded systems, or edge infrastructure engineering.
• Strong production experience with ROS2 in real-world deployed environments.
• Proficiency in Python and/or C++.
• Experience working with edge compute platforms such as NVIDIA Jetson.
• Familiarity with multimodal sensor integration and synchronisation.
• Experience building systems that must tolerate unreliable connectivity, constrained bandwidth, or remote deployments.
• Strong debugging and systems‑thinking skills across hardware and software boundaries.
• Comfortable owning ambiguous technical problems end‑to‑end with minimal oversight.
• Experience shipping production‑grade systems at scale.

• Maritime, aerospace, defence, or autonomous systems experience.
• Experience with satellite networking or Starlink-based deployments.
• Familiarity with SDR, radar, sensor fusion, or edge ML inference pipelines.
• AWS infrastructure and cloud data pipeline experience.
• Observability and telemetry tooling experience for distributed robotics systems.