Propulsion System Diagnostic Software Validation Engineer

Slate Auto•Troy, MI

About The Position

At Slate, we’re building safe, reliable vehicles that people can afford, personalize and love—and doing it here in the USA as part of our commitment to reindustrialization. The spirit of DIY and customization runs throughout every element of a Slate, because people should have control over how their trucks look, feel, and represent them. The Propulsion System Diagnostic Software Validation Engineer will develop test specifications, execute component and subsystem diagnostic testing for all propulsion system ECUs of the vehicle (VCU, BMS, EDM, OBC, DCDC converter). The candidate will work closely with the Software Team, Electrical Team, and Propulsion Team to validate the subsystem and component level diagnostics on Slate’s different test properties. The validation engineer will generate test cases and analyze results to ensure program requirements are met.

Requirements

Bachelor of Science Degree in Electrical Engineering, Electronics Engineering, Computer Engineering, Computer Science, Systems Engineering or a related field is required.
5+ years of experience in using systems modeling platforms for test development, test automation, test requirements development, test execution, and test reporting.
5+ years of experience working with low voltage and high voltage systems.
Specific experience includes: Open and closed-loop control systems for sensors, actuators, vehicle controllers, etc. Low voltage components, such as circuit breakers, relays, wiring, etc. High voltage components, such as HV thermal components, charge plugs, inverters, e-motors, DCDC converters, on-board chargers, battery packs, etc. Electric vehicle system simulation, requirements, testing, and validation.
Proficient understanding of vehicle control systems, such as torque management, EV charging, thermal management, gear state, etc.
CAN-Bus, LIN, and Ethernet communication protocol.
CAN tools such as CANalyzer, P-CAN, Kvaser, CANoe, CANDiva, CANApe, etc.
Hands-on experience with CAPL Scripting, ECU Test tool for Automation.
Hands-on experience with setup and use of FIU systems.
Knowledge and applicable experience in CDD file generation and DID development.
Knowledge and applicable experience in ISO 14229 UDS protocol specifications.
Knowledge and applicable experience in MATLAB, Simulink, and Stateflow charts.
Knowledge and applicable experience in scripting languages, such as Python, CAPL.
Knowledge and applicable experience with requirements management tools, such as Polarion or DOORS.
Knowledge and applicable experience with 8D, Five Whys, and other structured problem-solving tools to diagnose complex issues.
Knowledge and applicable experience with industry standards, such as FMVSSS, NHTSA, SAE, etc.
Excellent communication, team building, and relationship building skills.
Track record of meeting deliverables on-time and on-specification.
Ability to manage multiple priorities in a fast-paced automotive development environment.
Proficiency with Microsoft Office (Outlook, Teams, Word, Excel, PowerPoint).
Must have the ability to travel (up to 10%).
Must have the ability to lift up to 35 pounds.
Must have the ability to stand, walk, and perform repetitive tasks for extended periods.

Nice To Haves

Master's degree is preferred.

Responsibilities

Develop diagnostic software validation test cases for the system, subsystem, and component level for each propulsion system module (ECU) across the vehicle architecture.
Work closely with Software, Electrical, and Propulsion teams on the integration of multiple control units on the test properties.
Collaborate with Software, Electrical, and Propulsion teams to develop DFMEAs, DVP&Rs, and test properties validation plans.
Write detailed test specifications and test scripts based on system and component requirements.
Generate a testing plan that achieves targets at various milestones.
Develop automation of DTC test cases and UDS services.
Analyze and visualize large data sets from various data sources to understand the use cases and validation criteria.
Technical communication of analysis results and tradeoffs.
Root cause analysis, corrective action implementation, and escalation of risks to keep software development process on track.
Identify opportunities for automation.
Develop and implement processes to improve efficiency.
Participate in Agile Software development processes.