Autonomy & Software Engineer

Miami, United States | Posted on 04/29/2026

MOBY Robotics is building autonomous deep-sea robotic systems that unlock persistent access to the ocean. Our platform combines advanced computer vision, coordinated swarm robotics, and a scalable surface-to-seafloor architecture to deliver real-time ocean intelligence and enable responsible resource operations.

THE ROLE

We are looking for an Autonomy & Software Engineer to own the intelligence layer of our AUV from flight controller integration and mission planning to sensor fusion and real-time decision-making. This is a high-impact role at a fast-moving startup where you will shape the architecture of a system that operates in one of the most challenging environments on Earth. We are looking for an engineer with deep, hands‑on expertise in autonomy and software, but with enough breadth across adjacent domains electronics, sensors, and field systems to work effectively across a small, cross‑functional team.

• Design and implement the full autonomy stack for AUV mission execution, including behavior trees,
  state machines, and task sequencing
• Develop and tune waypoint navigation, path planning, and dynamic obstacle avoidance algorithms
• Own the integration of Ardu Sub / PX4 flight controller firmware with the high‑level software stack
• Integrate and fuse data from IMU, DVL, depth sensors, and acoustic positioning systems
• Implement and maintain localization pipelines (EKF/UKF) for underwater navigation without GPS
• Developing custom sensor fusion techniques and implementing state‑of‑the‑art models for state estimation and localization

• Build and maintain the ROS2‑based software architecture across onboard compute platforms
• Write clean, tested, well‑documented C++ and Python code with a focus on reliability in embedded environments
• Develop simulation environments in platforms like NVIDIA Isaac Sim.
• Build, test and maintain firmware code (ROS2, Python, C++) for the AUV.
• Set up and manage testing, version control practices, and software documentation

• Support field testing and offshore deployments (This is a hands‑on role)
• Collaborate closely with the Electrical Engineer on low‑level firmware and hardware‑software interfaces (CAN, UART, I2C, SPI)
• Contribute to system‑level architecture decisions as part of a small founding engineering team

• 2-3 years of hands‑on experience building autonomous robotic systems (full‑time, internship, or substantial research/project work)
• Solid understanding of core software development principles and practices
• Strong knowledge of motion planning, obstacle avoidance and basic control systems
• Experience in building autonomous robots with state of the art models and techniques Strong proficiency in Python and C++ in a robotics or embedded context Deep experience with ROS2 (nodes, topics, services, actions, custom message types) Demonstrated experience integrating and tuning flight controllers such as Ardu Sub, Ardu Pilot, or PX4
• Working knowledge of state estimation and sensor fusion (IMU, DVL, barometer, or similar)
• Comfortable with Linux environments, Git, and standard software engineering practices Ability to write reliable, maintainable code that runs on resource‑constrained hardware

• Experience with underwater robotics (AUVs, ROVs) or marine/subsea systems
  Experience with NVIDIA Jetson, Raspberry Pi, Arduino or other microcontrollers
• Familiarity with acoustic positioning systems (DVL, USBL, LBL) or underwater comms protocols
• Simulation experience with Gazebo, Isaac Sim, or similar environments
• Basic electronics skills, reading schematics, debugging hardware‑software interface issues
• Experience with computer vision, sonar image processing, or onboard ML inference
• Exposure to systems like Blue Robotics hardware, Water Linked systems, or similar AUV platforms
• Background in competitive robotics (Robo Sub, Robot
  
  X, etc.)
• Ownership of autonomy and software systems deployed in the field
• Work on real robotic systems operating in extreme environments
• Rapid iteration between simulation, hardware, and testing
• Full‑system scope across autonomy, controls, and embedded software
• Small, highly technical team with close collaboration Competitive compensation