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Senior Engineer, Computer Vision

Job not on LinkedIn

πŸ”₯ 3 hours ago

πŸ‡ΊπŸ‡Έ United States – Remote

πŸ’΅ $155k - $205k / year

⏰ Full Time

🟠 Senior

πŸ‘οΈ Computer Vision Engineer

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Logo of Compound Eye

Compound Eye

11 - 50 employees

Founded 2015

πŸ€– Artificial Intelligence

πŸŽ–οΈ Defense

🚘 Automotive

πŸ’° $12.8M Venture Round - Compound Eye on 2025-05

Artificial Intelligence β€’ Defense β€’ Automotive

Compound Eye is a machine-vision company that combines artificial intelligence with classical computer vision to give machines human-like perception with greater precision. Their VIDAS platform delivers tens of millions of depth measurements per second without LiDAR or radar, provides per-pixel scene understanding (object labels and free space), and supports position tracking when GPS is unreliable. Compound Eye targets applications across defense (including multiple Direct to Phase 2 SBIR awards), heavy equipment teleoperation and autonomy, and automotive programs that need LiDAR-like range and accuracy at lower cost and complexity.

πŸ“‹ Description

β€’ Design and advance algorithms for pose estimation, SLAM, Visual-Inertial Odometry (VIO), and 3D reconstruction β€’ Build and tune navigation filters including EKF and other classical state estimation approaches β€’ Own sensor fusion pipelines that combine IMU and camera data in lidar-free setups β€’ Develop and maintain multi-view geometry and camera calibration systems β€’ Drive real-time perception solutions for autonomy and robotics applications β€’ Analyze algorithm performance and failure modes, and translate findings into concrete improvements β€’ Help grow and mentor a team of similarly-qualified engineers

🎯 Requirements

β€’ 3–6+ years of hands-on experience in computer vision or robotics perception, with depth in: β€’ Pose estimation, SLAM, Visual-Inertial Odometry (VIO), and 3D reconstruction β€’ Nonlinear optimization (e.g., bundle adjustment, factor graphs) β€’ Classical state estimation and Kalman filters (EKF) β€’ Sensor fusion combining IMU and cameras in lidar-free environments β€’ Multi-view geometry and camera calibration β€’ Real-time perception systems for autonomous vehicles or robotics

πŸ–οΈ Benefits

β€’ Strong Incentive Stock Options (ISO) β€’ Medical, dental, and vision insurance β€’ Annual home office stipend β€’ Employer-paid long-term disability, short-term disability, and life insurance β€’ 401(k) with employer match after 6 months β€’ Flexible PTO and 8 holidays + 2 week winter break β€’ Paid family leave β€’ Quarterly onsites in San Francisco

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