Tocaro Blue is a company focused on revolutionizing marine technology through advanced perception and sensor fusion. As a Senior Perception and Sensor Fusion Engineer, you will develop intelligent systems for autonomous marine operations, working on multi-target tracking, sensor fusion, and localization in GPS-denied environments.
Responsibilities:
- Design and optimize multi-target tracking systems for maritime targets
- Create target motion models to enhance target tracking using parameter estimation
- Develop Radar-based global localization and SLAM against reference cartography
- Deploy high-performance tracking and SLAM algorithms on real-time edge hardware using optimized C++ implementations
- Create robust sensor fusion algorithms for precise vessel localization combining GPS, IMU, and signals of opportunity, ensuring real-time inference capabilities in challenging maritime conditions
- Build global path-planning and local obstacle avoidance techniques for over-the-horizon autonomous routing
Requirements:
- Advanced degree (MS/PhD) in Electrical Engineering, Mechanical Engineering, Robotics, or related technical field
- 7+ years of hands-on experience applying parameter and state estimation, dead-reckoning and localization, and sensor fusion to dynamic systems (graduate research counts if directly applicable)
- Proven track record through Master's thesis, dissertation, or commercial projects demonstrating mastery of both localization and target tracking
- Expert-level C++ development backed by python and/or MATLAB prototyping
- Experience optimizing and deploying localization, fusion, and tracking models to edge computing platforms using C++
- Portfolio of personal projects or research solving complex real-world problems through software innovation
- Background in automotive or marine systems, robotics, or other autonomous vehicle development
- Passion for pushing the boundaries of what's achievable with sensor fusion in challenging environments
- Design-of-experiment for perception and fusion system testing and evaluation