Staff Software Engineer

Fruition Group US; Washington (District of Columbia); On-site; USD 130,000 - 180,000; Full time

Job summary

Fruition Group US is seeking a Staff Software Engineer to build the core autonomy platform for maritime systems. This hands-on role focuses on production C++ software, distributed services, networking, and system interfaces across air and marine domains.

You will drive architecture decisions and own features from development through field operation. The role requires 5–8 years of professional software engineering experience, with familiarity in robotics, autonomy, and cyber-physical systems.

Qualifications

• 5–8 years of professional software engineering experience.
• Experience with distributed systems, APIs, networking, and software architecture.
• Familiarity with robotics, autonomy, UxV, or other cyber-physical systems.
• Experience developing or debugging software on physical hardware.

Responsibilities

• Develop production-grade C++ running on autonomous maritime platforms.
• Build distributed services designed for constrained edge environments.
• Contribute to core platform architecture deployed across multiple autonomous fleets.
• Design deterministic control authority and command arbitration between human operators, onboard autonomy, and external systems.
• Debug real-world issues across compute, networking, hardware, and autonomy software.
• Deploy, monitor, troubleshoot, and continuously improve software operating in production.
• Leverage modern AI-assisted development tools for prototyping, testing, debugging, and production support.

Skills

C++

Distributed systems

Networking

Software architecture

AI-assisted development tools

Job description

Staff Software Engineer – Autonomy Platform

US Citizens Only

This is an opportunity to build software that actually operates in the field on physical AI dedicated products. You will have the chance to work at the intersection of autonomy, distributed computing, networking, and physical maritime systems. You will have significant ownership over core platform architecture and the opportunity to contribute directly to next-generation autonomous fleets.

About The Role

A rapidly growing maritime technology company developing and deploying mission-ready autonomous and uncrewed systems for real-world operations. The team works across autonomous vessels, mission systems, command & control, sensors, and edge computing.

At the centre of the platform is a common autonomy architecture connecting sensors, autonomy software, payloads, and command-and-control systems across multiple maritime platforms.

The Role

We are seeking a Mid-Level Software Engineer to develop the core software platform supporting autonomous maritime systems. This is a hands-on role focused on production C++ software, distributed systems, networking, system interfaces, and control arbitration running on physical products within the air and marine space.

You will work across software, autonomy, networking, and hardware boundaries, taking systems from development through deployment and field operation.

Key Responsibilities

• Develop production-grade C++ running on autonomous maritime platforms.


• Build distributed services designed for constrained edge environments.


• Contribute to core platform architecture deployed across multiple autonomous fleets.


• Design deterministic control authority and command arbitration between human operators, onboard autonomy, and external systems.


• Build robust behaviour under degraded communications, conflicting inputs, and system faults.


• Debug real-world issues across compute, networking, hardware, and autonomy software.


• Deploy, monitor, troubleshoot, and continuously improve software operating in production.


• Leverage modern AI-assisted development tools for prototyping, testing, debugging, and


• 5–8 years of professional software engineering experience.


• Experience with distributed systems, APIs, networking, and software architecture.


• Familiarity with robotics, autonomy, UxV, or other cyber-physical systems.


• Experience developing or debugging software on physical hardware.


• Strong systems-level debugging and problem-solving skills.


• Experience using AI-assisted software development tools.