Mine data logged by Tesla’s Industrial Storage fleet to define the fingerprint for a failure mode and utilize Tesla automation tools to programmatic diagnosis and react to future occurrences of that failure mode
Troubleshoot and resolve hardware, software, and firmware issues that cause downtime for Tesla’s Industrial Storage customers
Lead cross-functional efforts to drive actions with manufacturing, design, field service, and the technical support teams as required to systematically prevent known issues from reoccurring
Define the actions that need to be taken by the field service and technical support teams when a specific failure mode occurs, publish those actions in Tesla’s Service tools, and develop any specialized training required to complete those actions
Quantify the benefit of a product or manufacturing improvement opportunity and work with the engineering and manufacturing teams to implement the improvement for existing and future products as appropriate
Provide support on escalated customer cases from around the world to minimize system downtime for Tesla’s customers
Work with field service and technical support teams to create the documentation and training necessary to commission, operate, repair, and service Tesla’s Industrial Storage products installed globally
What You’ll Bring
Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or equivalent experience
Experience using SQL and Python for data analysis on very large databases
Strong engineering fundamentals and intuition, applied to firmware/software-enabled systems
Prior experience troubleshooting electrical, system, firmware, or process failure modes
Proven cross-functional leadership and collaborative skills An excellent attention to detail and an ability to produce clear and concise written documents and diagrams
Experience with battery systems and power systems is a plus
Experience with managing or maintaining equipment running Linux based applications is a plus