Perception & Computer Vision Engineer

Los Angeles, CA // Full Time or Intern // On Site

We're looking for a perception engineer who can turn raw sensor data into reliable, real-time signals a robot can act on. This is hands-on work, since pipelines run on real hardware under real constraints, not just in notebooks.

Our systems combine multiple sensing modalities. Off-the-shelf setups are often not enough, so you'll design, build, and integrate custom sensing and perception systems end-to-end. The goal is real-time understanding the robot can trust under noise, latency, and imperfect conditions.

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What You Will Own

Build real-time perception pipelines on physical systems.
Design, integrate, and fuse multi-modal sensing systems.
Implement or adapt 3D reconstruction and spatial understanding.
Own data loops end-to-end: capture, calibration, labeling, iteration.
Deploy and optimize on edge systems.
Debug across the stack.
Translate research into simplified, robust systems under real-world constraints.

Evidence We Want To See

Show examples of end-to-end systems: sensors, data, model, real-time deployment.
Show multi-sensor or sensor fusion work.
Show depth / 3D reconstruction / SLAM/VIO experience.
Show custom data collection and calibration workflows (not just downloaded datasets).
Show real-time pipelines running on physical hardware.
Show evidence of improving robustness through data, calibration, or system design.
Show ability to diagnose and fix real-world failure modes (noise, misalignment, drift).