Staff Robotics Software Engineer

• The Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on making large groups of autonomous systems work effectively together
• We leverage existing Anduril drone platforms like Ghost or Altius, in addition to bringing 3rd party platforms into Anduril’s Lattice ecosystem
• Staff Robotics Engineers lead the delivery of vehicle perception and planning capability integrated in to our products, acting as technical leads, extremely senior individual contributors, and/or as team leads that are also hands-on contributors
• We expect Staff Robotics Engineers to demonstrate unparalleled end-to-end outcome ownership, driving the rapid architecting, design, delivery, support, and evolution of safe and effective vehicle autonomy on Anduril’s autonomous platforms through their entire product life-cycle
• Own customer success through the design and delivery of a multi-year, multi-stakeholder software roadmap that spans across multiple teams
• Leverage internal product and program-specific engineering teams to rapidly deliver capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time
• Partner with external teams, collaborating on interfacing requirements between diverse systems and technologies
• Lead teams that architect, design and implement trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions and requirements in a multi-stakeholder environment
• Drive the development and implementation of sensor suites, perception algorithms, planning algorithms, and test fixtures to deliver safe navigation and effective operation of Anduril’s autonomous vehicles
• Perform high impact IC work in architecture and implementation across the whole perception and planning stack
• Utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles
• Conduct thorough testing and validation of perception and planning algorithms through development and use of simulation and analysis of data from real-world experiments, including evolving the data analysis tooling
• Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing
• Travel to co-locate with end-users and/or other teams up to 20% of the time

Benefits

• Full Family Health Coverage
• 16 Weeks Paid Parental Leave for All Caregivers
• Family Planning & Support
• Incentivized Time Off
• Mental Health Resources
• Financial Planning
• Unlimited Provisions
• Professional Development- 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
• Experience in a senior perception or planning role for the delivery of a robotic system
• 7+ years of experience in C++ and/or Python software development
• Demonstrated knowledge of at least one of: computer vision, sensor fusion, SLAM, motion planning, machine learning
• Eligible to obtain and maintain an active U.S. Secret security clearance
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
• Ability to collaborate with stakeholders to define and implement robust validation and verification strategies for perception and planning modules
• Familiarity with autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras
• Experience with autonomous systems in the ground, air, maritime or space domains
• Knowledge of safety standards and certification processes for autonomous systems
• Experience with simulation tools and frameworks, such as Gazebo, Unity, or Unreal Engine, for algorithm validation and testing
• Familiarity with System Engineering concepts