A
Anduril Industries
Staff Robotics Engineer (Surface Dominance)
Skills
PythonData AnalysisMachine LearningFinancial Planning
2 months ago
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Important information
Contract type:
Permanent
Salary:
$253,000 – $336,000 / year
Location:
Costa Mesa, CA, USA
Work mode:
Onsite
Published on:
11 August 2026
What they need
- 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
- This includes systems analysis, sensor selection and integration, perception architecture and implementation, motion planning, health management, behaviour analysis, simulation and test infrastructure, and interfaces with lower- and higher-level systems
- 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- Experienced and proficient in C++ and/or Python software 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
- 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
- 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
- Familiarity with autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras
- Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
- Experience in a senior perception or planning role for the delivery of a robotic system
- 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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