Perception Engineer at Amidon Heavy Industries
El Segundo, California, USA -
Full Time


Start Date

Immediate

Expiry Date

19 Nov, 25

Salary

150000.0

Posted On

20 Aug, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

C++, Sonar, Sensor Fusion, Computer Vision, Python, Slam

Industry

Information Technology/IT

Description

ABOUT AMIDON HEAVY INDUSTRIES

Amidon Heavy Industries is a venture-backed startup transforming subsea inspection and monitoring. We build autonomous surface vessels (USVs) that autonomously launch and recover remotely operated vehicles (ROVs) to perform high-frequency inspections of subsea pipelines, telecom cables, and offshore infrastructure. Our system operates at a fraction of the cost of traditional crewed vessels, unlocking scalable, real-time subsea awareness for the first time.

QUALIFICATIONS

  • 3+ years of experience in robotics perception, computer vision, or autonomy.
  • Strong skills in C++ and Python.
  • Experience with SLAM, sensor fusion, and real-time perception pipelines.
  • Hands-on with ROS/ROS2 and robotic software frameworks.
  • Familiarity with sonar, video, and navigation sensors.

How To Apply:

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Responsibilities

THE ROLE

We are hiring a Perception Engineer to own the perception and mapping stack for our USV-ROV system. You’ll develop the pipelines that turn raw subsea sensor data into actionable insights, enabling digital twins, anomaly detection, and real-time awareness for our customers. This is a foundational role where your work will directly shape both the product and the company.

RESPONSIBILITIES

  • Develop sensor fusion pipelines for sonar, video, IMUs, and navigation data.
  • Build real-time mapping and reconstruction systems (SLAM, structure-from-motion, multi-view geometry).
  • Develop perception algorithms for cable and pipeline detection, tracking, and condition monitoring.
  • Integrate perception with mission planning and operator dashboards (Helm platform).
  • Run simulations and at-sea tests, analyzing field data to refine algorithms.
  • Ensure systems perform in real-world ocean conditions (noise, poor visibility, dynamic currents).
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