Nomadic Mission Operator (Automotive)

TL;DR

Nomadic Mission Operator (Automotive): Operating and testing automated driving vehicles across multiple states with an accent on data collection, system monitoring, and strict safety compliance. Focus on executing multi-day missions, troubleshooting hardware and software issues in the field, and maintaining detailed performance reports.

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

Company

hirify.global is a Ford Motor Company subsidiary developing automated driving technologies at the speed of a startup.

What you will do

• Drive test vehicles across multiple states to collect data on multi-day missions.
• Perform daily start-up, system engagement, and shutdown procedures for development vehicles.
• Actively monitor and troubleshoot software and hardware systems while on the road.
• Execute data collection in accordance with strict safety and compliance protocols.
• Maintain accurate and detailed reports on system performance and data collection 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.
• High School Diploma or GED equivalent with two years of employment experience.
• 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.
• 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

• 12-month contract assignment.
• Schedule involves a 6-day, up to 60-hour workweek, working 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.