Applied CV Research Engineer

 We’re building perception systems that operate on real devices, in real environments—not just in simulation or offline pipelines. The work sits at the intersection of computer vision, robotics, and spatial computing, with a focus on systems that need to run reliably under real-world constraints.

What You’ll Work On

• Core perception problems: 3D reconstruction, tracking, localization, and scene understanding
• Systems that combine camera data with other sensors (IMU, depth, etc.)
• Vision pipelines optimized for real-time, on-device performance
• Taking ideas from research through to production

What We’re Looking For

• Experience building production-grade computer vision systems
• Strong fundamentals in 3D geometry, multi-view vision, and calibration
• Experience with SLAM, VIO, sensor fusion, or state estimation
• Comfortable working with real-world data and edge cases

Backgrounds that tend to align well:

• Apple (Vision Pro / spatial computing)
• Meta (Reality Labs)
• Cruise, Zoox, Skydio
• Matic or similar robotics/autonomy environments

Technical Stack

• C++ (primary), Python for experimentation
• Experience working under latency and compute constraints
• Familiarity with modern CV/ML frameworks

Nice to Have

• AR/VR or spatial computing experience
• Robotics or autonomous systems background
• Experience deploying to edge or embedded systems