Computer vision, sensor fusion, slam, motion planning, or machine learning
Implement trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions and requirements in a multi-stakeholder environment
Job Summary
Implement trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions and requirements in a multi-stakeholder environment.
Utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles.
Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing.
Matching Summary
Implement trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions and requirements in a multi-stakeholder environment.
Skills & Requirements
Must-have
C++ and/or Python software development
Autonomous vehicle hardware and sensors
Computer vision, sensor fusion, SLAM, motion planning, or machine learning
Robotic system delivery experience
End-to-end system ownership
Validation and verification strategies
Nice-to-have
Autonomous systems in maritime domain
Simulation tools and frameworks
Safety standards and certification processes
System Engineering concepts
Key Requirements
Bachelor’s degree or equivalent experience
Experience in a senior perception or planning role
Eligible to obtain Australian NV2 security clearance
Work Rights
Eligible to obtain Australian NV2 security clearance