This isnt a narrow backend job – its an opportunity to build the next generation of AI-powered maritime infrastructure from the ground up, with full ownership and impact, alongside the most innovative team in the most advanced company in this space.
What Will You Do?
Architect and implement containerized edge pipelines (Docker, DeepStream/Triton) for Jetson and x86.
Design and implement the edge comms stack (sync, heartbeat, telemetry).
Lead cross-functional integration with algorithm, product, and field teams.
Own the end-to-end integration of AI models into embedded systems.
Drive profiling, debugging, and performance tuning in constrained environments.
Support hardware-software integration in both lab and vessel environments.
Contribute to strategic innovation rollouts and project qualifications.
Requirements:
4 years of experience in backend engineering with strong .systems/architecture exposure – proficiency in Python and C++.
Strong experience with edge inference stacks (Jetson, DeepStream, Triton, Docker, Linux).
Comfort with embedded systems and real-world hardware constraints (cameras, sensors, etc.).
Experience building modular, production-grade software.
Strong communication and collaboration abilities.
A can-do mindset and a drive to build and ship real systems.
Nice-To-Haves:
Background in robotics, autonomy, or maritime systems.
Exposure to video streaming, real-time monitoring and encoding pipelines.
DevOps/MLOps experience for embedded/containerized environments.
Challenges & Opportunities:
Tackle real-world edge integration with embedded AI systems.
Lead visible, strategic innovation projects with external partners.
Help define the future of autonomy in the maritime world.
Join a high-impact, close-knit team working at the bleeding edge of autonomy and robotics.
