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Path Robotics

Autonomous robotic welding systems provider

Real-Time Robotics Perception Engineer

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeColumbus, OH, USANo salary listedIn-person

About the Job

Requirements

  • Experience closing a real-time loop based on camera input on real hardware, including stating the operating rate, measured end-to-end latency, and measurement method.
  • First-principles depth in classical computer vision and three-dimensional geometry, including camera geometry, triangulation, registration and its failure modes, calibration, and proper error propagation.
  • Experience deploying real-time segmentation or feature extraction on degraded imagery, with an understanding of why thin and low-contrast structures break standard metrics and losses.
  • Strong modern production C++ skills and ROS 2 experience.
  • Experience with GPU-accelerated inference on embedded hardware under a hard per-frame budget, including measuring tail latency rather than only mean latency.
  • Ability to defend physical accuracy claims using measurements against an independent reference, with bias reported separately from repeatability.

Responsibilities

  • Own the end-to-end real-time perception pipeline, from sensing through extraction and geometry to outputs consumed by another engineer’s control loop, running at the required rate on embedded hardware within a measured budget.
  • Develop robust measurements from imagery whose signal is deliberately degraded.
  • Produce estimates that identify and report their own failure early enough to affect the control loop.
  • Perform geometric estimation against known models from partial and imperfect data, and determine when the geometry does not support the produced answer.
  • Evaluate sensing options, run experiments to settle instrument choices, and defend those choices with quantitative evidence.
  • Set the technical direction for the perception work as it grows toward learned methods.

About the Company

Path Robotics

Autonomous robotic welding systems provider

Path Robotics builds autonomous robotic welding systems for manufacturers. Its welding cells run on Obsidian, a physical AI model for welding trained inside the Weld World Model, a neural network simulator created from tens of millions of welded inches of fleet weld data. Cameras and lasers around the torch scan each part, identify seams, plan weld paths, and adapt in real time to part variation and imperfect fits, with no programming required by the user. The product line includes the AW-3 cell for large parts, the AF-1 cell that autonomously picks, fits up and welds small parts, and Rove, a mobile welding robot. Customers are fabricators and manufacturers with high-mix production, with focus on defense and shipbuilding, utility and energy infrastructure, and data center structures. Path offers its cells as robots-as-a-service with no upfront capex, a recurring fee, and 24/7 remote mission control support.

Company size
201-500
Company stage
Series E
Total funding
$589.7M
Headquarters
Columbus, OH
Founded
2014

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