Vision Systems Engineer

Solx

$70K — $95K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS in Electrical Engineering, Computer Engineering, Robotics, Optics, or a related field.
  • 3+ years of experience in machine vision, imaging, or embedded/vision systems.
  • Familiarity with industrial cameras, optics, and lighting calibration.
  • Experience with edge computing platforms like NVIDIA Jetson.
  • Hands-on experience in integration and debugging of production equipment.
  • Ability to bridge hardware and software on the production line.
  • Bilingual in English and Spanish is a plus.

Responsibilities

  • Design and integrate camera, lens, and lighting systems for inspection stations.
  • Deploy and calibrate edge vision hardware, including NVIDIA Jetson and industrial cameras.
  • Tune image acquisition for high throughput and real-time inference performance.
  • Integrate the vision system with production stations and data controls.
  • Validate detection accuracy against actual production environments.
  • Support installation, commissioning, and ongoing improvement on the production floor.

Benefits

  • Opportunity to lead the vision system design from concept to execution.
  • Engagement with cutting-edge technology and production processes.
  • Support for continuous improvement initiatives in a hands-on role.
Full Job Description
Own the vision system end to end on the line - cameras, optics, lighting, and edge hardware integrated into every station for reliable, real-time inspection.

What you'll do
  • Design and integrate camera, lens, and lighting setups for each inspection station.
  • Deploy and calibrate edge vision hardware (e.g. NVIDIA Jetson plus industrial cameras).
  • Tune image acquisition and real-time inference performance for throughput.
  • Integrate the vision system with stations, controls, and the data layer.
  • Validate detection accuracy and reliability against real production conditions.
  • Support installs, commissioning, and continuous improvement on the floor.


What you bring
  • BS in EE, Computer Engineering, Robotics, Optics, or related.
  • 3+ years in machine vision, imaging, or embedded / vision systems.
  • Experience with industrial cameras, optics, lighting, and calibration.
  • Familiarity with edge compute (Jetson), image pipelines, and real-time constraints.
  • Hands-on integration and debugging on production equipment.
  • Comfortable bridging hardware, software, and the line.
  • Bilingual English / Spanish a plus.

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