# Forward Deployed Engineer – Advanced Manufacturing

**Company**: Ford Motor Company
**Location**: Dearborn, MI
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $115,000-$192,900
**Category**: Engineering
**Industry**: Automotive
**Wikidata**: https://www.wikidata.org/wiki/Q44294

**Apply**: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/71846?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7bf1d78f-0e9

## Description

In this position, you will work at the intersection of software engineering, manufacturing operations, industrial data, cybersecurity, and business impact as a Forward Deployed Engineer. You will design, build, integrate, and deploy software systems that connect automated equipment, sensors, and cloud platforms to improve manufacturing operations.

Responsibilities:

- Build the Manufacturing Edge: Design, develop, and deploy software systems that connect automated equipment, sensors, PLC-adjacent data, MES workflows, quality systems, warehouse systems, and cloud platforms.

- Own Industrial Data Flows: Work with and design IIoT architectures, MQTT messaging primarily, OPC-UA connectivity, edge gateways, time-series data, event-driven systems, and manufacturing data models.

- Embed on the Floor and Solve: Work directly with manufacturing operations, controls, maintenance, quality, process engineering, product, and business stakeholders to understand production problems firsthand.

- Deliver Manufacturing Analytics: Build analytics and operational intelligence capabilities for throughput, uptime, downtime, OEE, quality, scrap, traceability, cycle time, bottlenecks, energy usage, and launch readiness.

- Own Delivery End to End: Wear multiple hats across application engineering, cloud infrastructure, edge deployment, integrations, automation, observability, and production support.

- Build Fast Without Breaking the Plant: Move quickly from ambiguity to production-ready systems while respecting manufacturing realities.

- Engineer for Secure Operations: Design and operate solutions for highly secured manufacturing environments.

- Apply AI Where It Wins: Use generative AI, applied ML, anomaly detection, predictive analytics, intelligent automation, and AI-assisted development where they create measurable value.

- Uphold the Engineering Standard: Contribute high-quality design and code, participate in architecture and code reviews, define durable integration patterns for industrial systems.

Qualifications:

- Technical Depth: 5+ years of experience as a software engineer, manufacturing systems engineer, industrial software engineer, solutions engineer, or similar hands-on engineering role.

- Manufacturing and Industrial Systems Experience: Demonstrated experience working with manufacturing environments, automation systems, plant-floor data, MES integrations, industrial equipment, quality systems, maintenance workflows, or production operations.

- IIoT and Edge Connectivity: Hands-on familiarity with IIoT architectures, MQTT, OPC-UA, edge gateways, industrial protocols, event-driven architectures, time-series data, sensor data ingestion, and secure connectivity.

- Manufacturing Analytics: Ability to build or support analytics for OEE, throughput, downtime, cycle time, bottleneck detection, quality, scrap, traceability, energy consumption, and asset performance.

- Modern Stack Experience: Experience with Go, Python, TypeScript, API design, OpenShift, GCP, or comparable cloud platforms, containerized services, infrastructure-as-code, CI/CD, observability, and secure production operations.

- Bias for Deployed Outcomes: A track record of taking ambiguous, high-stakes operational problems from first conversation to working software in production.

- Adaptability and Field Readiness: Comfortable working in fast-changing manufacturing environments, spending time onsite with operators and engineers, troubleshooting real systems.

- Communication and Influence: Excellent communication and relationship-building skills.

- High Autonomy, High Accountability: Comfortable operating with minimal process and significant latitude.

Benefits:

- Immediate medical, dental, vision and prescription drug coverage

- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more

- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more

- Vehicle discount program for employees and family members and management leases

- Tuition assistance

- Established and active employee resource groups

- Paid time off for individual and team community service

- A generous schedule of paid holidays, including the week between Christmas and New Year's Day

- Paid time off and the option to purchase additional vacation time

## Skills

### Required
- IIoT
- MQTT
- OPC-UA
- GCP
- Go
- Python
- TypeScript
- API design
- OpenShift
- containerized services
- infrastructure-as-code
- CI/CD
- observability
- secure production operations

### Nice to have
- AI/ML
- anomaly detection
- predictive analytics
- intelligent automation

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Source: [Apply at efds.fa.em5.oraclecloud.com](https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/71846?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)