Founding Perception Engineer at Crewline AI - VC-backed Autonomous Construction

As the Founding Perception Engineer, you will architect the 3D perception stack for autonomous heavy machinery. Fusing LiDAR, cameras, and GNSS/IMU data, you will enable 50,000-pound vehicles to navigate unstructured, high-dust construction environments. This is a rare 0-to-1 opportunity to deploy real-world robotics that solve the global housing affordability crisis through infrastructure automation.

• Architect and build robust 3D perception pipelines for object detection, tracking, and scene understanding on NVIDIA Jetson Orin platforms.
• Design multi-sensor fusion algorithms integrating LiDAR, radar, cameras, and RTK GNSS to maintain spatial awareness in harsh, dynamic environments.
• Lead field validation efforts, deploying and iterating on algorithms directly on-site (often from the company’s mobile HQ, "The Endurance" RV).

• Proven experience building production-grade perception systems at top-tier AV companies (e.g., Waymo, Cruise, Zoox) or harsh-environment robotics firms.
• Strong founding DNA with a history of owning 0-to-1 initiatives and a pragmatic "hacker" mindset that prioritizes reliable, working code over academic demos.
• Exceptional technical depth in sensor fusion, SLAM, or deep learning, ideally supported by elite academic credentials or experience in mission-critical systems.

• Ship to real-world construction sites within months, working with industry giants like Mortenson and Watts on live jobsites rather than running endless simulations.
• Join a high-caliber founding team led by an Oxford CS PhD and ex-Amazon ML engineer, backed by $5.5M from Initialized Capital and unicorn founders.
• Tackle "perception hell"—solving unique challenges like deformable terrain, heavy dust, and GNSS dropouts that on-road autonomous vehicle companies never encounter.