Computer Vision & Perception Engineer

MOBY Robotics • Miami, FL

4d

About The Position

MOBY Robotics builds autonomous deep-sea robotic systems that expand persistent access to the ocean. Our platform combines advanced computer vision, multi-agent coordination, and a scalable surface-to-seafloor architecture to deliver real-time ocean intelligence and enable responsible subsea operations.

We are seeking a versatile, hands-on Computer Vision Engineer to lead the development of both real-time spatial perception and post-processing 3D reconstruction systems for MOBY’s subsea vehicles.

You will combine classical computer vision, modern vision models, and embedded deployment to build algorithms that run in real time on constrained hardware, working through non-uniform lighting, turbidity, marine life, and low-contrast seafloor.

Requirements

• Master’s degree with 2+ years of relevant industry experience, or a Bachelor’s degree with 4+ years of relevant experience
• Deep understanding of classical computer vision (epipolar geometry, camera models, image restoration, feature extraction) and modern deep learning
• Demonstrated experience handling subsea vision challenges (refractive optics, light attenuation, backscatter, non-uniform illumination, and low-contrast marine terrain)
• Hands-on experience with Visual-Inertial SLAM (e.g., ORB-SLAM3, OKVIS, VINS-Mono) or sensor fusion algorithms
• Proven capability deploying models to edge platforms (e.g., NVIDIA Jetson / CUDA / TensorRT / ONNX Runtime) with strict latency and memory budgets
• Strong proficiency in Python and C++, with hands-on experience using OpenCV, PyTorch/LibTorch, ROS 2, and point cloud libraries (PCL/Open3D)

Nice To Haves

• Experience with 3D Gaussian Splatting, Neural Radiance Fields (NeRFs), or dense photogrammetry pipelines
• Familiarity with hardware-triggered multi-camera synchronization and subsea lighting controls
• Exposure to Vision-Language Models (VLMs) or vision-guided manipulation and grasping
• Experience processing multi-modal sensor streams (DVL, IMU, sonar, monocular/stereo RGB)

Responsibilities

• Build, optimize, and deploy real-time perception pipelines for obstacle detection, tracking, and hazard avoidance on embedded GPU hardware
• Develop robust Visual SLAM and state-estimation pipelines tuned for feature-sparse, visually degrading underwater environments
• Write highly efficient runtime code (C++/CUDA/TensorRT) maximizing frame rates while remaining compute- and memory-bounded on edge hardware
• Design and implement high-fidelity offline 3D reconstruction pipelines using multi-view stereo, 3D Gaussian Splatting, NeRFs, or structure-from-motion (SfM)
• Develop semantic tagging, object classification, and spatial map segmentation algorithms using state-of-the-art vision and vision-language models (VLMs/VLAs)
• Design camera calibration workflows (intrinsic, extrinsic, and multi-camera stereo) robust to refractive underwater optics and lens distortion
• Collaborate directly with hardware and embedded systems engineers to integrate cameras, lighting synchronization (PWM/hardware triggering), and IMU sensor fusion
• Rapidly prototype, benchmark, and field-test vision algorithms on real subsea crawler/ROV/AUV video feeds and datasets

Benefits

• Competitive pay
• Direct ownership of a critical, foundational platform in deep-sea robotics
• Small, highly technical team with broad systems exposure
• Rapid iteration between algorithm design, field testing, and real subsea deployment
• Opportunity to shape next-generation ocean intelligence infrastructure

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level