Experience with Open Charge Point Protocol (OCPP) versions 1.6 and 2.0.1 (preferred) and familiarity with DIN70121 and ISO15118.
Understanding of DC fast charging standards including SAE J1772, IEC 61851, and UL2202.
Proficient in networking protocols such as PLC and TCP/IP.
Familiarity with machine states, Wireshark for network analysis, and basic CAN communication.
Experience with EV diagnostic tools like Vector and Keysight, with a basic understanding of software development practices.
Relevant degree in Electrical or Computer Engineering or equivalent experience in the EV charging industry.
Minimum of 1 year in DC Fast Charging or solution sales with a successful track record.
Responsibilities
Validate interoperability of backend systems and charge points with OCPP standards.
Test the complete charging system with charge point operators to ensure seamless integration.
Analyze field data from chargers to identify and address performance issues, especially post-launch.
Employ systematic troubleshooting techniques to resolve technical issues with chargers.
Replicate and isolate reported issues to develop effective solutions.
Collaborate across teams to resolve complex technical issues through a multidisciplinary approach.
Benefits
Opportunities for professional development and training.
Collaborative work environment with cross-team projects.
Exposure to cutting-edge technology in the EV charging industry.
Full Job Description
Key Responsibilities:
Interoperability Validation
OCPP 1.6 and OCPP 2.0.1: Ensure that backend systems and charge points are compatible and functioning correctly with these Open Charge Point Protocol versions.
DIN70121 and ISO15118: Validate the interoperability of vehicles and charging infrastructure with these standards, focusing on Autocharge and Plug and Charge functionalities.
End-to-End System Testing
Work with charge point operators (CPOs) to test the complete system, including vehicles, chargers, payment providers, credit card terminals, and backend systems, ensuring seamless integration and functionality.
Performance Monitoring
Field Data Analysis: Track and analyze data collected from chargers in the field to identify and address performance issues, especially during the initial product launch phases.
Troubleshooting
Systematic Approach: Use techniques like data mining, system log analysis, and performance testing to troubleshoot and resolve technical issues with chargers.
Reproduction and Isolation: Conduct tests to replicate and isolate issues, then develop solutions to address them.
Cross-Team Collaboration
Work effectively with various teams to resolve complex issues, leveraging a multidisciplinary approach to problem-solving.
Qualifications & Skills:
Required Technical Experience
OCPP Standards: Experience with Open Charge Point Protocol (OCPP) versions, specifically 1.6 (required) and 2.0.1 (preferred). Experience with both DIN70121 and ISO15118, and knowledge of NACS / J3400, is advantageous.
DCFC Standards: Familiarity with SAE, ISO, and IEC standards related to DC fast charging, including SAE J1772, IEC 61851, and UL2202.
Networking Standards: Understanding of networking protocols such as PLC, TCP/IP, and other relevant standards.
Machine States & Communication Protocols: Understanding of machine states, Wireshark for network analysis, and basic CAN communication.
Diagnostic Tools: Familiarity with EV diagnostic tools such as Vector, Keysight, and Iotecha.
Software Development: Basic familiarity with software development practices can be beneficial.
Educational Background
Relevant Degree in Electrical Engineering, Computer Engineering, or equivalent experience in EV charging industry.
Experience
Minimum of 1 year of DC Fast Charging or solution sales with a proven track record of success
Preferred POS Systems Knowledge
Experience with Point of Sale (POS) systems and payment terminals, specifically Payter or Nayax, including their payment flows.
Troubleshooting and System Experience
Experience with complex systems and troubleshooting techniques, demonstrating the ability to diagnose and resolve issues effectively.
Soft Skills
Analytical Skills: Strong analytical skills are crucial for understanding and solving complex technical problems.
Attention to Detail: Precision in handling and analyzing technical data is important.
Prioritization: Ability to work effectively under pressure, particularly during critical troubleshooting or product launch phases.
