At Ford Motor Company, we believe freedom of movement drives human progress. As we build the next generation of connected and electrified vehicles, software quality and safety are foundational. Within Ford’s Advanced Driver Assistance Systems (ADAS) organization, we develop and deliver features like Adaptive Cruise Control, Automatic Emergency Braking, Cross Traffic Alert, Active Park Assist, and 360 Camera Systems.
This role focuses on embedded-in-the-loop automation to assess ADAS software quality from component through sub-system scope. You will design and implement automated test solutions that run against real embedded targets and bench environments (e.g., SIL/HIL, ECU benches), integrated with CI/CD to provide fast, repeatable feedback on every change.
What you’ll be able to do
The individual in this role is responsible for developing and maintaining automation solutions for ADAS software, enabling continuous verification of software quality across ECU software components and integrated sub-systems. You’ll work closely with developers, feature owners, systems engineering, calibration, and test teams in an Agile environment.
Design, develop, and maintain automated test frameworks (Python and/or C++) to validate ADAS software on ECU/bench targets
Create and maintain test libraries and utilities that interface with embedded targets and vehicle networks (CAN, XCP, Ethernet/TCP/UDP, diagnostics)
Implement automation to evaluate functional correctness, robustness, timing/performance, reliability, and regression behavior at component and sub-system levels
Develop automated workflows for bench/SIL/HIL execution, including test orchestration, stimulus/response control, data capture, and result reporting
Integrate automated test execution into CI/CD pipelines (e.g. Jenkins, GHA) to enable test frequently with actionable pass/fail criteria and traceability
Build tooling to support quality assessment across the stack: embedded software services, middleware integration, sensor/feature interfaces, and ECU-to-ECU interactions
Partner with manual test and integration teams to convert high-value scenarios into stable automated coverage; reduce test cycle time and increase repeatability
Drive root-cause analysis for failures (logs, traces, network captures) and collaborate with feature teams to resolve defects efficiently
Contribute to engineering excellence through code reviews, test design reviews, documentation, and continuous improvement of team frameworks and lab infrastructure
Influence test strategy and coverage planning for mid- to long-term quality goals (including stability, flakiness reduction, and scalability across benches)