Manufacturing Edge Software Engineer

Ford Energy

Dearborn (MI)

Hybrid

USD 115,000 - 193,000

Full time

40 hours ago
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Benefits offered by this job

Medical, dental, vision coverage
Paid time off
Tuition assistance
Vehicle discount program

Job summary

Ford Energy is seeking a Forward Deployed Engineer to sit at the intersection of software engineering, manufacturing operations, industrial data, cybersecurity, and business impact. The role blends factory-floor immersion with full-stack software development, cloud infrastructure on GCP, and secure industrial data pipelines.

You will embed with plant teams, design and deploy software near production lines, and drive measurable improvements in throughput, uptime, and traceability in a highly

Qualifications

  • 5+ years of experience as a software engineer or similar hands-on engineering role.
  • Experience with manufacturing environments, MES integrations, and plant-floor data.
  • Experience with IIoT architectures, MQTT, OPC-UA, edge gateways, and secure connectivity.

Responsibilities

  • Build the Manufacturing Edge: design, develop, and deploy software systems connecting equipment, MES, quality, warehouse, and cloud platforms.
  • Own Industrial Data Flows: design IIoT architectures, MQTT, OPC-UA, edge gateways, and time-series data pipelines.
  • Embed on the Floor and Solve: partner with plant teams to translate needs into production software.

Skills

Go
Python
TypeScript
API design
OpenShift
GCP
CI/CD
observability
secure production operations

Tools

MQTT
OPC-UA
Edge gateways
Industrial data models

Job description

Ford Energy is seeking a Forward Deployed Engineer to sit at the intersection of software engineering, manufacturing operations, industrial data, cybersecurity, and business impact. The role blends factory-floor immersion with full-stack software development, cloud infrastructure on GCP, and secure industrial data pipelines.

You will embed with plant teams, design and deploy software near production lines, and drive measurable improvements in throughput, uptime, and traceability in a highly

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