Real-Time Robotics Perception Engineer (Embedded Vision)

Aimlroles

North Carolina

On-site

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Free lunch
Flexible PTO
Medical, dental, vision
Parental leave
401(k)
Referral bonuses

Job summary

Path Robotics is seeking a Perception Engineer to own the real-time perception loop from sensing through geometry to a control interface on embedded hardware. You will push robust estimation under degraded imagery and defend sensing choices with data.

Strong background in classical vision, 3-D geometry, and production C++/ROS2 is required. This role focuses on end-to-end perception in a demanding hardware environment with a bias toward reliable, verifiable results.

Qualifications

  • Experience closing a real-time loop on camera data on real hardware.
  • First-principles depth in classical vision and 3-D geometry.
  • Production-grade C++ and ROS 2 experience.
  • GPU-accelerated inference on embedded hardware and tail-measurement.

Responsibilities

  • Own the real-time perception pipeline from sensing to output for another engineer's control loop.
  • Ensure robustness when imagery is degraded and measurements remain reliable.
  • Provide honest estimates with clear failure signaling when data is uncertain.
  • Perform geometric estimation against known models and handle partial data reliably.
  • Evaluate sensing options, run experiments, and defend choices with data.
  • Set technical direction as perception moves toward learned methods.

Skills

C++
ROS 2
Real-time vision
3-D geometry
Embedded hardware
GPU acceleration

Job description

Path Robotics is seeking a Perception Engineer to own the real-time perception loop from sensing through geometry to a control interface on embedded hardware. You will push robust estimation under degraded imagery and defend sensing choices with data.

Strong background in classical vision, 3-D geometry, and production C++/ROS2 is required. This role focuses on end-to-end perception in a demanding hardware environment with a bias toward reliable, verifiable results.

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