Charging Automation Lead

Waymo - San Francisco, CA

Hiring: Charging Automation Lead Company: Waymo Location: San Francisco, CA Job Posted Time: 2026-09-14 17:59:48 Employment Type: Full-time (Hybrid) Target Skills & Keywords: Charging Automation, EV Charging Infrastructure, Robotic Charging Arms, Battery Energy Storage Systems (BESS), Charger Management Systems (CMS), API Development, Python, Autobot, OCPP/OCPI, CI/CD, GitHub, Jenkins, Azure DevOps, Git, Hardware-in-the-Loop (HIL), Commissioning, Data Automation, Smart Buildings, e-Mobility Experience: - 5+ years of relevant experience with Charger Management Systems development, API development, and data automation/scripting - Extensive technical experience with EV charging infrastructure deployment and the commissioning lifecycle, specifically regarding OCPP/OCPI and other means of offboard data communications - Proven ability to lead cross-functional teams and manage complex projects involving both hardware-in-the-loop (HIL) bench work and in-vehicle testing - Experience managing external commissioning vendors Required Skills: - High proficiency in Python and experience with frameworks like Autobot or similar - Strong experience speccing, building, and managing APIs between cloud-based platforms and data repositories - Strong understanding of CI/CD pipelines and tools such as GitHub, Jenkins, or Azure DevOps, along with version control systems like Git - Ability to act as primary technical lead ensuring seamless data integration between vehicle mechatronic embedded controls, charging hardware, CMS products, and cloud-based data aggregation mobile applications - Experience integrating robotic automation into existing charging infrastructure - Ability to lead smart buildings design and implementation of automated test scripts and standardized workflows for EV charging features - Demonstrated ability to communicate technical issues, project status, and strategic recommendations to leadership and external partners Qualifications: - Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, Business, or a related technical field - Master's degree in Engineering preferred Compensation: Not specified in the job posting. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!