Applied Scientist, Fauna
Core
Research and develop advanced navigation systems enabling robots to move reliably and safely through complex, dynamic environments using classical methods, learning-based techniques, and foundation models.
Role type
Applied Scientist (Robot Navigation)
Builds
Robust autonomous navigation systems for robots operating in dynamic indoor environments
Domain
Robotics, Autonomous Systems, Machine Learning
Deliverable
production ML models
Required skills
algorithms and data structures, numerical optimization, parallel and distributed computing, high-performance computing, sim-to-real transfer techniques, spatial reasoning
Preferred skills
Unix/Linux development, professional software engineering practices
Technologies
Java, C++, Python
Responsibilities
Develop robust navigation systems for complex dynamic environments; Build simulation-based and on-device evaluation frameworks; Conduct sim-to-real transfer experiments; Collaborate with world model and manipulation teams; Mentor fellow scientists and engineers
Seniority
Mid-Senior, hands-on IC