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Optical & Machine Vision Engineer

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Onsite

Optical & Machine Vision Engineer

Lawrence Harvey

Optical & Machine Vision Engineer

Skills

AI

1 month ago

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Important information


Contract type:

Permanent

Location:

Boston, MA, USA

Work mode:

Onsite

Published on:

24 September 2026

What they need


Machine Vision Engineer - Optics Hardware

Hybrid - Cambridge, MA

$140-170k salary + equity

I'm working with a rapidly-growing AI and machine vision company is expanding its engineering team to support the development and deployment of advanced vision systems across manufacturing environments.

The Optical & Machine Vision Engineer will be responsible for the imaging hardware behind AI-driven inspection systems, covering optical design, hardware selection, calibration, feasibility testing, deployment and production validation. The role will design and validate machine vision systems based on customer inspection requirements and production conditions, including the selection and configuration of industrial cameras, lenses, lighting, filters and image acquisition hardware.

Key responsibilities include:

  • Camera calibration, alignment and lens distortion correction
  • Defining FOV, working distance, resolution, depth of field and exposure
  • Developing imaging solutions for reflective, transparent, dark and fast-moving materials
  • Conducting optical feasibility studies and production validation
  • Integrating cameras with PLCs, encoders, sensors, triggers and industrial networks
  • Configuring GPU-based edge computing and image acquisition hardware
  • Supporting installation, commissioning and troubleshooting at manufacturing sites

Experience

  • 5+ years in machine vision, optics, imaging engineering or industrial systems integration
  • Strong understanding of cameras, lenses, lighting, sensors and geometric optics
  • Experience with Basler, FLIR, Allied Vision, Teledyne or similar platforms
  • GigE Vision, USB3 Vision and/or GenICam
  • Industrial defect detection and automated quality inspection experience
  • Experience integrating vision systems into high-speed manufacturing environments
  • OpenCV, 3D vision, telecentric optics, structured lighting or polarized imaging beneficial
  • NVIDIA GPU and edge computing experience beneficial

Interested? Hit apply now or send a copy of your resume to [email protected]

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