CareerPlan

Forward Deployed Engineer – Advanced Manufacturing, Ford Energy

Dearborn, MI, United StatesFull-time2026-09-29 → 2026-11-10
On-site

Core

Design, build, and deploy custom software solutions at the manufacturing edge to connect automated equipment, sensors, and cloud platforms, improving throughput, uptime, and traceability in highly secured environments.

Role type

Senior IC Forward Deployed Engineer (Industrial Software)

Builds

Custom edge capabilities, IIoT architectures, manufacturing data pipelines, and operational analytics dashboards for Ford Energy facilities.

Domain

Industrial Manufacturing / IIoT / Cloud Infrastructure

Required skills

Go, Python, TypeScript, MQTT, OPC-UA, GCP, OpenShift, IIoT architectures, edge gateways, time-series data, industrial protocols, secure connectivity, manufacturing analytics, CI/CD, observability

Preferred skills

Manufacturing environment experience, MES integrations, controls-adjacent systems, AI/ML-enabled automation, data platforms, streaming architectures, identity and access management, secrets handling, vulnerability remediation

Technologies

Go, Python, TypeScript, MQTT, OPC-UA, GCP, OpenShift, OpenShift, Kubernetes, Docker, Terraform, Prometheus, Grafana, Kafka, Spark, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Jupyter, Git, Jenkins, CircleCI, GitHub Actions, AWS, Azure, IBM Cloud, Oracle, SAP, Siemens, Rockwell, Allen-Bradley, Schneider Electric, Honeywell, Emerson, ABB, Fanuc, Yaskawa, Delta, Mitsubishi, Omron, Keyence, SICK, Banner, Pepperl+Fuchs, IFM, Turck, Balluff, Bosch Rexroth, Siemens, Rockwell, Allen-Bradley, Schneider Electric, Honeywell, Emerson, ABB, Fanuc, Yaskawa, Delta, Mitsubishi, Omron, Keyence, SICK, Banner, Pepperl+Fuchs, IFM, Turck, Balluff, Bosch Rexroth

Responsibilities

Design and develop software systems connecting automated equipment, sensors, PLC-adjacent data, MES workflows, quality systems, warehouse systems, and cloud platforms. Work directly with manufacturing operations, controls, maintenance, quality, process engineering, product, and business stakeholders to understand production problems firsthand and translate them into shipped software. Build analytics and operational intelligence capabilities for throughput, uptime, downtime, OEE, quality, scrap, traceability, cycle time, bottlenecks, energy usage, and launch readiness. Design and operate solutions for highly secured manufacturing environments where identity, access control, secrets management, network boundaries, auditability, vulnerability management, and secure software delivery are core requirements. Apply generative AI, applied ML, anomaly detection, predictive analytics, intelligent automation, and AI-assisted development where they create measurable value for manufacturing operations. Contribute high-quality design and code, participate in architecture and code reviews, define durable integration patterns for industrial systems, and help establish the software, data, security, and deployment standards that allow highly automated facilities to scale.

Seniority

Senior, hands-on IC