Autonomous Mobility Solutions Engineer - Hybrid Innovator

Ford; Michigan; Hybrid; USD 87,000 - 166,000; Full time

Benefits offered by this job

Medical, dental, vision

Parental leave

Tuition assistance

Vehicle discount program

Paid time off

Job summary

Ford is seeking an Autonomous Mobility Solutions Engineer to develop, validate, and deploy AMR solutions across Ford plants. You will evaluate OEM models, conduct conformance testing, and support go-live with cross-functional teams including MP&L, Manufacturing Engineering, and robotics suppliers.

The role requires strong background in autonomous mobility, ROS/ROS2, Python/C++, and experience with safety, cybersecurity, and interoperability standards.

Qualifications

• Bachelor's in engineering, robotics, industrial automation, manufacturing or a related field.
• 3–5+ years in logistics automation, manufacturing systems, or equipment validation and launch.
• Familiarity with ANSI/RIA R15.08, ISO 3691-4, UL 3100, and VDA 5050.
• Hands-on in industrial networking MQTT protocols, TCP/IP architectures, PLC communications.
• Experience validating or launching automated equipment in production environments.

Responsibilities

• Evaluate technical feasibility of AMR models against factory applications.
• Define technical requirements and SOW content; assess supplier conformance.
• Validate localization maps, routes, and fleet software integration for go-live.
• Troubleshoot routing, traffic flow, and fleet software to diagnose defects.
• Collaborate with MP&L, Manufacturing Eng., IT, and operations on floor readiness.

Skills

Robotics

Industrial Automation

Manufacturing Systems

Logistics Automation

Cross-functional Collaboration

Education

Bachelor's in Engineering/Robotics/Industrial Automation or related field

Tools

ROS/ROS2

Linux

Python

C++

MQTT protocols

TCP/IP

PLC communications

Power BI

SQL

Job description

Ford is seeking an Autonomous Mobility Solutions Engineer to develop, validate, and deploy AMR solutions across Ford plants. You will evaluate OEM models, conduct conformance testing, and support go-live with cross-functional teams including MP&L, Manufacturing Engineering, and robotics suppliers.

The role requires strong background in autonomous mobility, ROS/ROS2, Python/C++, and experience with safety, cybersecurity, and interoperability standards.