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Sandalwood Engineering & Ergonomics

Hardware Engineer-Industrial Vision & Edge Systems

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeDetroit, MI, USANo salary listed

About the Job

Requirements

  • At least 5 years of hands-on experience specifying, testing, deploying, or supporting industrial machine vision hardware.
  • Experience with industrial cameras, imaging systems, and edge computing devices in manufacturing environments.
  • Strong understanding of industrial networking concepts, including Ethernet, GigE Vision, managed switches, jumbo frames, and network troubleshooting.
  • Familiarity with hardware compliance and certification processes, including UL and cUL requirements.
  • Experience with industrial communication and messaging technologies such as MQTT and PLC interfacing concepts.
  • Ability to provide full-time daily onsite services at the client's facility in Detroit, Michigan.
  • Candidates must be legally authorized to work in the United States at the time of application, without sponsorship.

Responsibilities

  • Own end-to-end camera and vision system hardware specifications for inspection stations.
  • Select camera resolutions, lenses, and imaging components based on application requirements.
  • Perform field-of-view calculations, working-distance analysis, and lighting evaluations for target part geometries.
  • Evaluate, test, and qualify industrial camera vendors and products for manufacturing environments.
  • Assess solutions against vibration, dust, temperature, wash-down, and other plant-floor operating conditions.
  • Develop and maintain standardized hardware Bills of Materials (BOMs) for repeatable deployment across multiple facilities.
  • Specify, test, and validate industrial PCs, edge computing platforms, and AI inference hardware.
  • Deploy and support edge systems responsible for vision processing and industrial messaging architectures.
  • Define network architectures supporting cameras, edge devices, switches, and plant control systems.
  • Validate GigE Vision performance, bandwidth utilization, packet integrity, jumbo frames, and image transfer reliability under production conditions.
  • Partner with software and controls teams to support PLC integrations and machine communication requirements.
  • Manage edge device procurement, provisioning, refresh cycles, and lifecycle planning.
  • Lead validation testing and qualification procedures for new hardware deployments.
  • Develop environmental, integration, and performance test protocols prior to rollout.
  • Own UL/cUL certification activities, compliance requirements, and supporting documentation.
  • Coordinate with vendors, EHS teams, cybersecurity stakeholders, and corporate governance teams during approval processes.
  • Ensure deployed hardware meets safety, regulatory, and organizational standards.

Desired Qualifications

  • Direct experience with NVIDIA hardware platforms and AI inference systems.
  • Experience deploying and supporting industrial PCs and edge computing devices at scale.
  • Familiarity with cloud-based image storage and retention strategies.
  • Experience working in manufacturing, automotive, or industrial production environments.
  • Experience defining, governing, and maintaining enterprise hardware standards.
  • Understanding of machine vision inspection systems, industrial automation, and controls integration.

About the Company

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