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Software Engineer, Autonomous Systems

Confidential

Remote job permanent

Posted: January 30, 2026

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Quick Summary

We are looking for a Software Engineer to join our team in Greece, responsible for developing and maintaining our maritime AI platform.

Job Description

About Us

DeepSea is a maritime technology leader, providing a unified optimisation platform that helps shipping companies cut fuel consumption, reduce emissions, and transform vessel performance across entire fleets.

Built on the most advanced maritime AI data pool in the world, DeepSea’s platform powers everything from vessel monitoring to advanced automation - helping clients achieve measurable results with clarity, speed and scale.

We are trusted by some of the world’s most forward-thinking ship owners and operators, and our team spans Greece, the UK, Armenia, Romania, Singapore and Japan. As the shipping industry undergoes enormous change, we are at the centre of that transition - helping our customers take control, reduce risk, and build competitive advantage.

About the position

As a Software Engineer, Autonomous Systems, you will be a core member of our R&I team working at the intersection of software engineering and research. Your primary responsibility will be to translate machine learning methods, control algorithms, and pipelines for autonomous systems into robust, production-grade software deployed in real-world systems.
This role requires a functional understanding of the underlying physical systems, proficiency in Python and Object-Oriented Programming (OOP), and a proactive technical mindset to advance our software stack.

This role is suitable for those who have prior experience building high-reliability, production-grade software for physical systems and collaborating within cross-disciplinary teams to develop and own the software stack.

Key responsibilities include

• Convert research prototypes for motion learning, prediction, and control to production-grade software.

• Design and develop our software stack according to a functional understanding of the underlying physical systems and business and technical requirements.

• Implement, integrate, improve, and support our software stack for autonomous systems.

• Perform pair programming, unit testing, functional testing, integration testing, simulation testing, and monitoring.

• Collaborate with research, machine learning, software, MLOps, and robotics engineers.

• Collaborate and guide fellow engineers to design and develop maintainable and testable software.

• Work in a culture of peer review and constructive feedback to enhance the quality of R&D outputs.

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