Nomadic Mission Operator (Automotive)

TL;DR

Nomadic Mission Operator (Automotive): Driving test vehicles across multiple states to collect data for autonomous driving platforms with an accent on system monitoring, troubleshooting, and strict adherence to safety protocols. Focus on executing multi-day missions, maintaining detailed performance reports, and ensuring high-quality data transfer for engineering teams.

Location: Must be legally authorized to work in the United States on a permanent basis.

Company

A Ford Motor Company subsidiary developing hands-free ADAS technology for future electric vehicles.

What you will do

• Drive test vehicles across multiple states to collect and transfer critical data.
• Perform daily start-up, engagement, and shutdown procedures for development vehicles.
• Monitor and troubleshoot software and hardware systems while on the road.
• Execute data collection missions following strict safety and compliance protocols.
• Maintain accurate, detailed reports on system performance and mission achievements.
• Represent the organization professionally while driving in public environments.

Requirements

• Must be legally authorized to work in the United States on a permanent basis.
• Valid driver’s license and ability to meet strict driving record requirements.
• Active passport or passport card.
• Ability to pass ten-panel drug screening and criminal background checks.
• High School Diploma or GED equivalent with two years of employment experience.
• Technical proficiency with computers and basic hardware/software troubleshooting skills.

Nice to have

• Prior experience in technical driving, fleet operations, or vehicle testing.
• Familiarity with vehicle diagnostics and data logging tools.
• Experience with work management tools like Jira or Slack.

Culture & Benefits

• Contract assignment for a 12-month duration.
• Work schedule of 6 days per week, 3 weeks on followed by 1 week off.
• Airfare provided for travel to and from mission locations.
• Opportunity to work with leading experts in machine learning and robotics.
• Commitment to a culturally diverse and equal opportunity work environment.