Senior Engineer, Computer Vision; Remote

Location

United States - Remote

Full time

Remote

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.

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.

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

3–6+ years of hands‑on experience in computer vision or robotics perception, with depth in:

Pose estimation, SLAM, Visual-Inertial Odometry (VIO), and 3D reconstruction

Classical state estimation and Kalman filters (EKF)

Sensor fusion combining IMU and cameras in lidar‑free environments

Multi‑view geometry and camera calibration

Real‑time perception systems for autonomous vehicles or robotics

You’ve derived or adapted algorithms, not just applied them. You’re comfortable with manifold optimization, uncertainty propagation, and error‑state representations. When something breaks, you go back to the math.

Strong foundations in:

Linear algebra, probability, and estimation theory

Analyzing numerical data and debugging algorithm behavior

This role is fully remote and open to anyone based in the United States. You’ll travel to Redwood City, CA four times per year for company on‑sites, and up to three additional times per year for conferences or customer demos. All travel is covered by Compound Eye.

Base salary: $155,000 to $205,000, depending on experience.

Strong Incentive Stock Options (ISO)

Medical, dental, and vision insurance

Annual home office stipend

Employer‑paid long‑term disability, short‑term disability, and life insurance

401(k) with employer match after 6 months

Flexible PTO and 8 holidays + 2 week winter break

Paid family leave

Quarterly onsites in San Francisco

We are global experts at designing high performance sensing and perception systems using automotive‑grade cameras.