Vatn Systems is an innovative startup at the forefront of designing and manufacturing autonomous underwater vehicles (AUVs). Our mission is to revolutionize underwater security, exploration, research, and operations through cutting-edge technology and unparalleled engineering. Our AUVs are defining the next generation of underwater autonomy.

The Role

As a Perception Engineer, you'll develop and improve the perception stack that powers our self-driving vehicles. Working hands-on with sonar and image data, you'll help build robust pipelines for detecting and tracking. You'll work closely with the autonomy team to integrate perception capabilities into bespoke behaviors, unlocking novel capabilities.

What You'll Do

Implement and maintain real-time perception pipelines on autonomous vehicle platforms.

Develop algorithms for obstacle detection, classification, and multi-object tracking.

Write and maintain ROS 2 nodes and packages for on-vehicle perception software.

Utilize Python and C++ to develop and implement algorithms for obstacle detection, classification, and multi-object tracking.

Participate in on-site vehicle testing and debugging of real-world perception failures.

Collaborate with localization, prediction, and planning teams to ensure clean perception interfaces.

What We're Looking For

Required

3–5 years of experience in robotics perception, computer vision, or autonomous systems.

Strong Python skills for prototyping, scripting, and ML workflows.

Solid ROS / ROS 2 experience, experience with commercial grade robotic systems.

Proficient in C++ for real-time, production-grade robotics software.

Experience with 3D sensor data — LiDAR point clouds, depth estimation, or multi-sensor fusion. Marine sensor experience is a big plus!

Working knowledge of deep learning frameworks (PyTorch preferred) for detection or segmentation tasks.

Working knowledge of classical data-driven perception techniques.

Understanding of 3D geometry, sensor calibration, and coordinate frame transformations.

Willingness to work on-site and participate in physical vehicle test sessions.

US Citizen and ability to gain a security clearance.

Preferred

Exposure to Rust for systems programming or robotics tooling.

Familiarity with AV-specific perception challenges: moving object tracking, occlusion handling, sensor degradation in adverse weather, GPS-denied localization.

Knowledge of TensorRT or other inference optimization tools for real-time deployment.

Understanding of AV safety standards or safety-critical software development practices.

Nice to Have

Prior experience at a startup and/or defense company.

Experience deploying perception models on embedded automotive hardware (Drive AGX, Jetson, etc.)

Vatn is an equal opportunity employer, and we welcome candidates from all backgrounds to apply. We look forward to reviewing your application and potentially having you join our team in shaping the future of autonomous underwater vehicles.