Senior Geometric Computer Vision Engineer

Compound Eye enables machines to understand their surroundings in 3D and in real time using only passive sensors like cameras and IMUs. Our VIDAS™ technology takes video from automotive-grade cameras and outputs a dense, semantic 3D representation of the world that vehicles and robots use to navigate their environment—a fully redundant alternative to LiDAR and radar. We're a revenue-generating company shipping product to customers across automotive, agriculture, healthcare, and defense, and backed by Khosla Ventures and other tier-one investors.

We’re a US team of 20 with a mission to teach machines to see. Our culture is built on transparency, mutual respect, and valuing great ideas wherever they come from.

The Role

We’re looking for a Senior Computer Vision Engineer with deep expertise in state estimation, sensor fusion, and geometry-based perception. You’ll work at the core of VIDAS™—building and advancing the algorithms that let machines understand the world through cameras alone.

The hardest problems here don’t have off-the-shelf solutions. You’ve been in situations where the algorithm failed, the literature didn’t cover it, and you had to work back to first principles to figure out why.

What You’ll Do

Design and advance algorithms for pose estimation, SLAM, Visual-Inertial Odometry (VIO), and 3D reconstruction

Build and tune navigation filters including EKF and other classical state estimation approaches

Own sensor fusion pipelines that combine IMU and camera data in lidar-free setups

Develop and maintain multi-view geometry and camera calibration systems

Drive real-time perception solutions for autonomy and robotics applications

Analyze algorithm performance and failure modes, and translate findings into concrete improvements

Help grow and mentor a team of similarly-qualified engineers