You will be developing cutting‑edge computer vision solutions and algorithms for our autonomous vehicles, bringing these onto our hardware in real time. Specifically, you will lead the adaptation of our perception and vision systems to the unique, harsh, and dynamic challenges of marine environments for our Unmanned Surface Vessels (USVs) and maritime UAV platforms.
Responsibilities
- Algorithm Development: code and optimize advanced algorithms for object detection, classification, tracking, target guidance, and target re‑identification.
- Maritime Perception Adaptation: tailor vision systems to overcome severe maritime environmental noise, including water glare, fog, heavy rain, wave movements, spray, and low‑contrast target profiles.
- Hardware Integration: integrate computer vision pipelines onto on‑vehicle edge hardware for real‑time inference and offboard control.
- Multi‑Sensor Correlation: align camera‑based perception outputs (bounding boxes around shadow fleet vessels, coastlines, or navigation hazards) with AIS, radar, and sonar inputs.
- Full Lifecycle Ownership: work through software design and architecture, all the way through to deployment and live harbor/sea trials.
- Challenge Requirements: constantly challenge assumptions and requirements to determine what adds direct operational value for maritime operators.
Qualifications
- Bachelor’s or Master’s degree in Robotics, Computer Science, Computer Engineering, or a related field.
- Minimum of +7 years of experience working as a computer vision generalist or perception engineer.
- Advanced proficiency in Python and proficient skills in C++.
- Demonstrated experience in object tracking, target detection, or navigation algorithms.
- Adaptability to work in a fast‑paced, high‑trust, and dynamic startup environment.
- Ability to travel as needed for maritime live field testing.
- Deep knowledge of camera system working principles.
- Prior experience in marine robotics, maritime autonomy, USVs, UAVs, or autonomous marine shipping.
- Experience with multispectral or thermal sensor calibration and fusion (EO/IR, LiDAR, Radar).
- Deep familiarity with CUDA, TensorRT, PyTorch, and OpenCV.
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