Staff Robotics Engineer, Maritime
$254,000–$336,000 year
On-siteQuincy, Massachusetts, United States
Job Summary
Own the design and delivery of a multi-year, multi-stakeholder software roadmap spanning perception and planning capabilities for Anduril's autonomous maritime vehicles. Lead teams to architect safe navigation, collision avoidance, and situational awareness systems while driving the development of sensor suites, perception algorithms, and planning logic. Perform high-impact individual contributor work across the perception and planning stack, utilizing computer vision, sensor fusion, and machine learning to enhance vehicle autonomy. Conduct thorough testing and validation through simulation and real-world data analysis, evolving tooling to ensure effective operation. Collaborate with cross-functional teams to integrate requirements and ensure system cohesion, acting as the technical owner for architecture, implementation, and evolution throughout the product lifecycle. Travel up to 20% of the time to co-locate with end-users.
Required Qualifications
- Bachelor's degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
- Experienced and proficient in C++ and/or Python software development
- Familiarity with autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras
- Demonstrated knowledge of at least one of: computer vision, sensor fusion, SLAM, motion planning, machine learning
- Experience in a senior perception or planning role for the delivery of a robotic system
- Capacity to act as the technical owner for a system, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment and evolution
- Ability to collaborate with stakeholders to define and implement robust validation and verification strategies for perception and planning modules
- Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
- Eligible to obtain and maintain an active U.S. Secret security clearance
Desired Qualifications
- Experience with autonomous systems in the ground, air, maritime or space domains
- Experience with simulation tools and frameworks, such as Gazebo, Unity, or Unreal Engine, for algorithm validation and testing
- Knowledge of safety standards and certification processes for autonomous systems
- Familiarity with System Engineering concepts
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