Computer Vision Engineer

Satellites that detect & avoid threats on their own. Drones that collaborate in GPS-denied fields. Spacecraft that rendezvous with tumbling targets in orbit. All of these feats demand robust scene understanding from multiple sensors. That's where you come in. As a Computer Vision Engineer (Multimodal Sensing) you'll implement and refine perception algorithms that fuse cameras, LiDAR, radar, event sensors, and beyond. Working shoulder-to-shoulder with a top-tier team of CV scientists, you'll translate cutting-edge research into flight-ready code for space and defense missions.

Responsibilities

Implement perception pipelines for situational awareness, collision detection & avoidance, formation flying, surveillance and terrain mapping across satellites and drones operating in GPS-denied, dynamic environments; Build the Perception stack of Spatial AI architectures, fusing visual, inertial, and depth cues for robust, multi-sensor scene understanding; Integrate sensor fusion & neural representations to create dense onboard world models that run in real time on resource-constrained hardware; Deploy semantic scene understanding, visual place recognition, pose estimation, and monocular depth estimation on embedded or edge-AI processors; Collaborate with a top-tier team of CV scientists and cross-disciplinary engineers, delivering well-tested, high-performance code into flight processors, Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) setups, and real missions

Requirements

M.S. in Computer Vision/Robotics, or a related field; Expertise in at least two of the following: multimodal perception & sensor fusion, neural representations, semantic scene understanding, SLAM / camera-pose estimation, monocular depth estimation, visual place recognition; Strong software engineering skills in C++ and Python, including performance-critical CV/ML code on Linux or embedded platforms; Familiarity with GPU or edge-AI acceleration (CUDA, TensorRT, Vulkan, or similar); Demonstrated ability to deliver production-quality, well-tested code in collaborative, fast-moving environments

Nice to have

Industry placements/working experience; Familiarity with GPU or edge-AI acceleration (CUDA, TensorRT, Vulkan, or similar); Experience deploying perception pipelines on resource-constrained hardware; Publications in multimodal sensing/neural representations/SLAM for robotics or autonomous navigation in journals and conferences (e.g. CVPR, ICRA, ECCV/ICCV, NeurIPS)

Benefits

Competitive salary commensurate with experience and impact; Equity options; Well-being perks, including access to premium gyms, climbing centers, and wellness programs; Team retreats & offsites