Hardware Development Engineer-Sight Vertical

Ford Motor Company

Redford, MIOn-siteFull time
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Location
Redford, MI
Work style
On-site
Job type
Full time
Posted
Oct 7
12 days ago
Career path

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About the company

Ford Motor Company

Automotive · 10,001+ employees

At Ford, we are re-imagining how manufacturing looks in the age of AI and building real solutions to implement in our factories to solve real problems and redefine what World Class looks like.

Ford Motor Company on LinkedIn

What you'll do

  • Develop cutting-edge solutions in manufacturing intelligence and build products to solve problems in factories.

What you need

  • <span lang="EN-GB">Bachelor's degree in Electrical Engineering, Computer Engineering, Mechatronics or a related field, or equivalent practical experience.</span>
  • <span lang="EN-GB">5+ years of hands-on experience specifying, testing or deploying industrial cameras, machine vision hardware, industrial sensors and data-acquisition hardware, or edge compute devices.</span>
  • <span lang="EN-GB">Working knowledge of industrial networking concepts — Ethernet/GigE, network switches, jumbo frames and packet-level troubleshooting — and of protocols including Dynamic DNS, DHCP and TCP/IP.</span>
  • <span lang="EN-GB">Familiarity with safety and regulatory certification processes (UL, cUL, CE) for electrical and electronic hardware.</span>
  • <span lang="EN-GB">Experience with messaging and integration protocols common in industrial vision systems (for example MQTT) and PLC interfacing concepts.</span>
  • <span lang="EN-GB">Strong cross-functional communication skills; comfortable working with software engineers, product managers and plant-floor personnel.</span>
  • <span lang="EN-GB">Experience retrofitting hardware onto in-production manufacturing equipment without disrupting output.</span>
  • <span lang="EN-GB">Fluent professional English.</span>
  • <span lang="EN-GB">Direct experience with industrial PCs and NVIDIA products for AI applications.</span>
  • <span lang="EN-GB">Experience supporting hardware fleets at scale across multiple manufacturing sites.</span>
  • <span lang="EN-GB">Familiarity with cloud image storage and retention pipelines (for example GCP) as they relate to hardware warranty and data lifecycle policy.</span>
  • <span lang="EN-GB">Manufacturing or automotive plant-floor experience.</span>
  • <span lang="EN-GB">Experience developing and governing hardware standards — device, BOM and installation standards, distinct from controls standards.</span>
  • <span lang="EN-GB">Experience with parametric condition monitoring — vibration, current, temperature, pressure or energy metering — and its acquisition hardware.</span>
  • <span lang="EN-GB">Familiarity with OT network segmentation and plant-floor connectivity constraints.</span>
  • <span lang="EN-GB">Additional European language (Spanish or German).</span>
  • <span lang="EN-GB">Standard hardware specifications and bills of material exist for the major Sight deployment patterns and are actively used.</span>
  • <span lang="EN-GB">New deployments require less bespoke plant hardware engineering because approved patterns are available and trusted.</span>
  • <span lang="EN-GB">Camera, sensor, edge and connectivity failures reduce over time because root causes are corrected through standards and fleet actions.</span>
  • <span lang="EN-GB">Hardware evidence supports TRL and MRL progression with repeatable test results and clear compliance documentation.</span>
  • <span lang="EN-GB">Fleet inventory, firmware, certificate, warranty and end-of-life risks are visible and actively managed.</span>
  • <span lang="EN-GB">Launch and Deployment Engineers, Product Managers and plant teams can apply hardware standards without relying on one-off expert judgement.</span>
  • <span lang="EN-GB">Hardware choices support both Sense and Vision product needs while avoiding unnecessary duplication across the portfolio.</span>

Key skills

function as a team

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Read the full posting here
Want to come work on the development of cutting edge solutions in manufacturing intelligence? At Ford, we are re-imagining how manufacturing looks in the age of AI and building real solutions to implement in our factories to solve real problems and redefine what World Class looks like. We are looking for highly motivated professionals who want to function as a team to build great products, solve difficult problems, and set a new level of excellence.

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