Autonomy Software Engineer

Fruition Group US is a leading technology company building advanced systems for large-scale autonomous coordination and real-time robotic operations. They are seeking a Software Engineer, Autonomy to develop core intelligence for onboard autonomous systems and work on various technical challenges in robotics algorithms and embedded systems.

Responsibilities:

• Develop autonomy software for real-world robotic and autonomous systems operating in complex environments
• Build and maintain multi-target tracking and data association systems used in live operational settings
• Design inter-system communication protocols for coordination between autonomous agents and command infrastructure
• Develop onboard software platforms integrating sensors, payloads, and modular autonomy components
• Build and validate high-fidelity simulation environments for autonomous system testing
• Train, tune, and evaluate perception and tracking models using modern machine learning techniques
• Work across embedded hardware and software systems, including prototyping and debugging integrated systems
• Write clean, reliable, and production-grade code used in real deployments

Requirements:

• 3+ years of experience in robotics, autonomy, or embedded software systems
• Strong experience in systems programming (C++, Rust, or Go preferred)
• Solid background in robotics algorithms (e.g., planning, estimation, tracking, or control systems)
• Understanding of embedded systems and hardware interfaces (e.g., serial communication, microcontrollers, sensors)
• Strong grasp of networking fundamentals (TCP/UDP, multicast, distributed communication patterns)
• Experience building reliable, testable software in real-world environments
• Must be a US citizen or Green Card holder
• Must have worked within aerospace, defence, space, or aviation industries
• Must be willing and able to travel to California 1–2 times per month
• Experience with perception systems, sensor fusion, or multi-target tracking
• Familiarity with robotics frameworks (e.g., ROS2 or similar middleware)
• Exposure to distributed or edge computing systems in robotics or IoT
• Hands-on hardware experience (debugging electronics, prototyping, instrumentation tools)
• Experience with simulation environments for robotics or autonomy
• Machine learning experience applied to perception or decision systems
• Familiarity with geospatial or multi-agent systems