Integration & Test Engineer II - System Test Strategy & Execution

Latitude AI ( lat.ai ) is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone.

Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on the all-new Ford Fathom in 2027.

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 redefining the relationship between people and their vehicles for millions of customers.

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