Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.
When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
Meet the team:
The System Test Strategy & Execution team is responsible for assuring autonomy performance using in-vehicle, simulation, resimulation (simulation using vehicle sensor logs), and bench testing as well as triage of fleet and test based software issues. Our team enables requirements verification and validation by designing and implementing tests across all test modalities and providing feedback and issue identification to the autonomy software teams.
What you’ll do:
- Conduct hands-on testing with autonomous vehicles base out of our facilities in Greenville, SC
- Work in Release Candidate and Development Testing areas
- Test autonomy developers pull requests on vehicles on public road
- Leverage system requirements to develop Release Candidate tests and Structured Tests as needed for Development Testing
- Support Vehicle Behavior requirements and simulation functional set development
- Work with automated ADAS test equipment to execute choreographed scenarios
- Analyze test results, and create detailed written reports, provide feedback to developers to improve software
- Conduct integration testing to ensure the seamless interoperability of software, hardware, and sensor systems within the automated driving stack
What you'll need to succeed:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 2+ years of relevant experience, Master's degree, or PhD
- Ability to work onsite in Greenville, SC
- A strong understanding of the autonomous vehicle software stack
- Solid problem solving skills
- Competency understanding performance requirements for autonomous systems
- Ability to write test documentation for test cases and engineering processes
Nice to have:
- Experience working with ADAS automation testing products
- Proficiency in writing Python
- Experience using dashboarding software such as Looker or Superset
What we offer you:
- Competitive compensation packages
- High-quality individual and family medical, dental, and vision insurance
- Health savings account with available employer match
- Employer-matched 401(k) retirement plan with immediate vesting
- Employer-paid group term life insurance and the option to elect voluntary life insurance
- Paid parental leave
- Paid medical leave
- Unlimited vacation
- 15 paid holidays
- Daily lunches, snacks, and beverages available in all office locations
- Pre-tax spending accounts for healthcare and dependent care expenses
- Pre-tax commuter benefits
- Monthly wellness stipend
- Adoption/Surrogacy support program
- Backup child and elder care program
- Professional development reimbursement
- Employee assistance program
- Discounted programs that include legal services, identity theft protection, pet insurance, and more
- Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives
Learn more about Latitude’s team, mission and career opportunities at lat.ai!
Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
