Lead Robotics Engineer

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
Minimum of 10 years experience with technical leadership and software development
Experience in a senior perception or planning role for the delivery of a robotic system
Capacity to act as the technical owner for a software service, 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. Top Secret security clearance

Lead design and implementation of perception and planning algorithms into vehicle system software to ensure safe navigation and effective operation of autonomous vehicles
Utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles
Develop software that runs on- and off- platform, using a variety of technologies
Contribute to the design and implementation of development processes for the initial delivery and subsequent iteration of robotic software, including full lifecycle testing
Collaborate with an interdisciplinary team to integrate perception and planning technologies into vehicle architectures
Conduct thorough testing and validation of perception and planning algorithms through simulation and real-world experiments
Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing

Experience with autonomous systems in the air, maritime or space domains
Experience with simulation tools and frameworks, such as Gazebo, Unity, or Unreal Engine, for algorithm validation and testing
Demonstrated engineering management capability; proven technical and personnel leadership qualities
Knowledge of safety standards and certification processes for autonomous systems
Strong understanding of System Engineering concepts