refresh

Trending companies

Trending companies

Ford
Ford

Automotive manufacturer

Autonomous Robotics Launch Engineer

RoleEngineering
LevelMid Level
LocationNaucalpan de Juarez, MEX, Mexico
WorkOn-site
TypeFull-time
Posted2 weeks ago
Apply now

The Autonomous Robotics Engineer will play a key role in defining, deploying, and scaling next-generation automation across Ford’s global manufacturing network. This role supports the launch of advanced Autonomous Mobile Robot (AMR) and AGV technologies that modernize in-plant logistics, increase safety, improve quality, and enable Best-in-World manufacturing performance.

You will work hands-on with robotics systems, controls, IT architecture, and cross-functional launch teams to deliver reliable, repeatable automation that transforms how material moves in our N.A. plants.

Minimum Requirements:

  • Strong self-starter with
  • Bachelor’s degree in engineering, engineering technology, mechatronics, computer science, or a related field.
  • 2+ years of experience deploying automation or robotics systems in a manufacturing environment.
  • Working knowledge of controls systems, industrial networking, and IT/OT interfaces related to robotics.
  • Knowledge of safety, quality, and regulatory requirements for autonomous technologies.
  • Ability and willingness to travel domestically and internationally to support N.A. launch activities.
  • Proficient English language skills

Preferred Requirements:

  • Strong self-starter with the ability to lead cross-functional teams and drive issues to closure.
  • Experience with PLC controls (Allen-Bradley preferred), industrial robotics, AMR/AGV platforms, or virtual commissioning tools.
  • Understanding of safety, quality, and regulatory standards related to AGV/AMR technologies.
  • Familiarity with Lean and/or Six Sigma methodologies.
  • Experience with system-level debugging, root-cause analysis, and performance optimization.

DISCLAIMER

Ford Motor Company is an Equal Opportunity Employer, as we are committed with a diverse workforce, and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran and basis of disability.

  • Lead the design, commissioning, and launch of AMR systems for in-plant material flow.
  • Partner with cross-functional teams (Controls, IT, Safety, Operations, Manufacturing Engineering) to plan and integrate AMR/AGV systems into facility operations.
  • Diagnose and resolve issues across controls, networking, software, and system integration during facility commissioning and launch.
  • Drive continuous improvement activities to enhance AMR throughput, uptime, fleet behavior, and system robustness.
  • Benchmark Best-in-World AMR/AGV deployments and translate findings into Ford’s automation strategy and standards.
  • Lead design reviews, risk assessments, readiness evaluations, commissioning processes, and handoff to plant operations.

Total Views

1

Total Apply Clicks

0

Total Mock Apply

0

Total Bookmarks

0

About Ford

Ford

Ford

Public

The Ford Motor Company is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903.

10,001+

Employees

Dearborn

Headquarters

$48B

Valuation

Reviews

10 reviews

3.7

10 reviews

Work-life balance

3.8

Compensation

4.2

Culture

3.5

Career

3.2

Management

2.8

68%

Recommend to a friend

Pros

Good benefits and compensation

Work-life balance and flexibility

Supportive colleagues and positive environment

Cons

Poor management and communication

Limited career advancement

High workload and stress

Salary Ranges

21 data points

Mid/L4

Senior/L5

Mid/L4 · ADAS Data Analytics Engineer

1 reports

$132,847

total per year

Base

$102,190

Stock

-

Bonus

-

$132,847

$132,847

Interview experience

3 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 67%

Negative 33%

Interview process

1

Application Review

2

Phone Screening

3

Technical Interview

4

Team Interview

5

Offer

Common questions

Technical Knowledge

Behavioral/STAR

Past Experience

Coding/Algorithm