Controller Integration Engineer

Generate technical solutions including specifying of requirements, functional decomposition, analysis, development and testing for current, new and major programs.

Perform as Subject Matter Expert (SME) for at least one platform or application component and participates in interviews.

Verify controller functionality on a bench and vehicle.

Work with Technical Review Boards and other cross functional teams to define test cases and to determine how frequently they should be executed.

Automate system level test cases to allow for automated regression testing.

Troubleshoot vehicle level integration issues including hardware, software, calibration and vehicle wiring.

Document hardware and software anomalies using Rational Team Concert (RTC) or similar database.

Confirm resolution of documented hardware and software anomalies.

Support algorithm requirement development by supporting algorithm technical review boards.

Document algorithm functional and verification requirements.

Develop, document, and review I/O functional requirements and test cases.

Conduct and participate in work product reviews for algorithm, software, and specifications incorporating I/O functional requirements and test cases.

Provide support as required: Software support for calibration teams and development trips, assembly plant and field problem resolution, prototype shop support, and durability cars and captured test fleet support.

Hybrid Work Policy - 3 days In-office, 2 days remote - Must be able to report to local office.

Master's degree in Electronic Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related field of study and Four (4) years of experience as a Software Engineer, Programmer Analyst, Development Engineer, Release Engineer or related role. Three (3) years of experience with: Embedded systems, including their architecture and components in automotive applications including control systems, sensor integration, and real-time processing; Using diagnostic tools like Vector CANoe, CANalyzer, and VehicleSpy for signal monitoring, and fault isolation; Interpreting software logs and error codes to identify root causes in code and system behavior; Automotive communication protocols including CAN, LIN, FlexRay, and Ethernet to trace data flows and understand network behaviors; Interpreting test data, identify patterns in failures, and apply structured problem-solving approaches; Root cause analysis including 5 Whys and Fishbone Diagram, and failure mode analysis; Vehicle electrical systems and mechanical components for diagnosing mechatronic issues where hardware and software intersect; Systems engineering principles to see how