Senior Robotics Engineer, Maritime
$220,000–$292,000 year
On-siteQuincy, Massachusetts, United States
Job Summary
Design and implement trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints in a multi-stakeholder environment. Build scalable sub-systems including sensor processing, perception, tracking, motion planning, health management, anomaly detection, simulation, and testing fixtures. Contribute to the design and development of reusable software components across Anduril product lines while leveraging computer vision, sensor fusion, and machine learning to enhance vehicle capabilities. Conduct thorough testing and validation of perception and planning algorithms through simulation and real-world data analysis. Collaborate with cross-functional teams to ensure effective system integration and testing. Travel to co-locate with end-users and other teams up to 20% of the time.
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
- Must be able to travel to co-locate with end-users and/or other teams up to 20% of the time
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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