Autonomous Robotics Launch Manager

Jobtailor

Dearborn (MO)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Job summary

Ford in the United States seeks a senior robotics leader to guide a multi-plant engineering and project delivery team responsible for defining, developing, and deploying next‑generation autonomous robotics technologies used in Ford’s in-plant logistics.

You will oversee AMR/AGV platforms, embedded controls, ML perception systems, and large-scale software integrations across global plants, ensuring alignment with safety and cybersecurity standards while driving full lifecycle deployments.

Qualifications

Bachelors in engineering, robotics, computer science, software engineering, or related field.
5–10 years in robotics, automation, or software engineering, with 3–5+ years in leadership.
Deep understanding of AMR autonomy, ADAS-style algorithms, robotics controls, and sensor fusion.
Strong track record in SOW creation, vendor management, and full lifecycle robotics deployments.
Ability and willingness to travel to USA, Canada, Mexico plants as required.
Proficient English language skills.
Master’s degree in Robotics, Software Engineering, Business Administration (MBA), or Technical Leadership.
Experience architecting advanced robotics autonomy stacks or ADAS systems.
Familiarity with Ford GVOSS, GME-707, safety standards, and cybersecurity requirements.
Experience with virtual commissioning, PLC safety systems, and industrial networking.

Responsibilities

Lead a multi-plant engineering and project delivery team responsible for defining, developing, and deploying next-generation autonomous robotics technologies used in Ford’s manufacturing in-plant logistics environment.
Oversee advanced AMR/AGV platforms, embedded controls, ML-based perception systems, ADAS-inspired autonomy stacks, and large-scale software integrations that support material delivery launches across Ford’s global plants.
Direct software-heavy engineering activities—such as perception modeling, mapping/localization, fleet management coding, and autonomy stack refinement—while ensuring alignment with Ford safety, cybersecurity, and plant operations standards.

Skills

AMR Autonomy

ADAS Algorithms

Robotics Controls

Sensor Fusion

Leadership in Robotics

SOW Creation

Vendor Management

Team Leadership

Communication

Education

Bachelor's Degree in Engineering

Master's Degree in Robotics

Master's Degree in Software Engineering

MBA

Technical Leadership

Tools

AMR/AGV Platforms

ML-Based Perception Systems

Cybersecurity Standards

Ford GVOSS

GME-707

Job description

This role leads a multi-plant engineering and project delivery team responsible for defining, developing, and deploying next-generation autonomous robotics technologies used in Ford’s manufacturing in-plant logistics environment.
Oversee advanced AMR/AGV platforms, embedded controls, ML-based perception systems, ADAS-inspired autonomy stacks, and large-scale software integrations that support material delivery launches across Ford’s global plants.
Direct software-heavy engineering activities—such as perception modeling, mapping/localization, fleet management coding, and autonomy stack refinement—while ensuring alignment with Ford safety, cybersecurity, and plant operations standards.

Requirements

Bachelors in engineering, robotics, computer science, software engineering, or related field.
5–10 years in robotics, automation, or software engineering, with 3–5+ years in leadership.
Deep understanding of AMR autonomy, ADAS-style algorithms, robotics controls, and sensor fusion.
Strong track record in SOW creation, vendor management, and full lifecycle robotics deployments.
Ability and willingness to travel to USA, Canada, Mexico plants as required.
Proficient English language skills
**Even better, you may have...
Master’s degree in Robotics, Software Engineering, Business Administration (MBA), or Technical Leadership.
Experience architecting advanced robotics autonomy stacks or ADAS systems.
Familiarity with Ford GVOSS, GME-707, safety standards, and cybersecurity requirements.
Experience with virtual commissioning, PLC safety systems, and industrial networking.

Core Competencies

Demonstrates expertise in leading multi-plant engineering teams focused on autonomous robotics technologies, with a strong emphasis on AMR autonomy, ADAS algorithms, and full lifecycle robotics deployments. Proficient in ensuring compliance with safety and cybersecurity standards while managing complex software integrations.

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