Software Engineer Vehicle Charging

Responsibilities

• Model-Based Software Development: Design and develop vehicle charging software using a model-based approach, ensuring alignment with system-level requirements.
• Full Software Development Lifecycle (SDLC): Engage in all phases of the SDLC, including requirement gathering, documentation, architecture design, software implementation, and unit testing.
• Testing and Validation: Conduct comprehensive vehicle charging tests for software releases, including regression and interoperability testing.
• Collaboration and Troubleshooting: Work closely with various EVSE manufacturers and charging network operators to troubleshoot and resolve interoperability issues.

Qualifications:

Education Requirement: Bachelor’s degree in Computer Science, Electrical/Electronic Engineering, or a related STEM field

Required

•  A minimum of 3 years of relevant software engineering experience.
• Model-Based Experience: Proficient in using MATLAB Simulink for code generation, state flow, model adviser, code guidelines, and test harness development.
• Knowledge of Vehicle Charging Systems: Strong understanding of vehicle charging systems and standards, including J1772 and ISO 15118.
• Communication Protocols: Experience with PLC communication protocols, utilizing sniffers for debugging and troubleshooting.
• Testing Experience: Hands-on experience testing various EVSEs and DC fast chargers (DCFCs) designed for global markets, including North America, Europe, and China. Willingness to travel for vehicle testing support.
• Vehicle System Architecture: Solid understanding of vehicle system architecture and the interactions between different Electronic Control Units (ECUs) in electric vehicles.
• AUTOSAR Configuration: Experience configuring Basic Software (BSW) using AUTOSAR configuration tools, such as Vector or EB.
• Diagnostics Development: Familiarity with developing software for vehicle diagnostics, including Diagnostic Identifier (DID), Diagnostic Trouble Codes (DTC), and Unified Diagnostic Services (UDS) routines.
• Development Tools: Proficient in using automotive development and debugging tools, such as Vector CANape, CANalyzer, and CAN/Ethernet sniffing tools.
• Detail-Oriented: Strong attention to detail with the ability to create detailed test plans and conduct interoperability tests.
• Project Management Tools: Proficiency in using Jama, Jira, and Confluence for project management and documentation.
• Safety Knowledge: Understanding of high voltage safety and product safety concepts.
• Organizational Skills: Excellent organizational skills to manage multiple tasks effectively.

Nice to Have

• Experience with advanced model-based design techniques.
• Familiarity with emerging vehicle charging technologies and trends.
• Previous experience in a fast-paced, agile development environment.
• C coding language experience