Body Electronics Validation Engineer

Slate Auto•Troy, MI

3d•Hybrid

About The Position

Slate is hiring an Engineer, Body Electronics Validation to execute component and subsystem software testing for vehicle body features, including electrical and software architectures. The role develops and carries out validation activities to ensure program requirements are met, and works closely with Software, Electrical, and Vehicle Integration teams to validate body-system software and integrate multiple control units on Slate test properties. Telecommuting is permitted two days per week.

Requirements

Master’s degree in Automotive Systems Engineering, Electrical Engineering, Electronic Engineering, Mechanical Engineering, or a related field; an equivalent foreign degree is accepted.
Two years of experience in this role, as a Body Controls Validation Engineer, Electrical/Electronic System Validation Engineer, Product Development Validation Engineer, Telematics/Connected Car Product Development Validation Engineer, or a related occupation.
At least one year of experience using each of the following: JIRA, root cause analysis, Vector CANoe, CANalyzer, IBM Rational DOORS, Python, C, AutoCAD, CATIA, and SolidWorks.
A suitable combination of education, training, and/or experience may be accepted.

Responsibilities

Execute component and subsystem software testing for vehicle body features, including electrical and software architectures.
Generate test cases and analyze results to ensure program requirements are met.
Develop software validation test cases for body systems and low-voltage components.
Collaborate with Software, Electrical, and Vehicle Integration teams to validate body-system software and integrate multiple control units on test properties.
Work with Software and Electrical teams to develop DFMEAs, DVP&Rs, and test-property validation plans.
Write detailed test specifications and scripts based on system and component requirements.
Generate testing plans that achieve targets at various milestones.
Analyze and visualize large datasets from various sources to understand use cases and validation criteria.
Post-process and analyze experimental data to validate and inform models.
Communicate analysis results and tradeoffs to technical stakeholders.
Perform root cause analysis, implement corrective actions, and escalate risks to keep software development on track.
Identify automation opportunities and develop and implement processes to improve efficiency.
Participate in Agile software development processes.