Residential Product Engineering Intern (Sydney, Melbourne or Adelaide) — Eveleigh, Sydney

Expired

What to Expect Join Tesla Energy's Product Engineering team and play a key role in ensuring the optimal performance of our residential energy products. As an intern, you will dive deep into fleet-wide data, troubleshoot issues, and develop solutions to enhance the customer experience. You'll collaborate with various teams, including field service, technical support, and software/firmware engineering, to identify and address challenges related to performance, operation, and maintenance. This role can be based in Sydney, Melbourne or Adelaide. The Recruitment team will be in touch with successful applicants in January. What You’ll Do Troubleshoot and resolve hardware, software, and firmware issues impacting Tesla's Residential Energy customers. Determine the root cause of product failures and drive improvements through design, software/firmware, or manufacturing changes. Define and publish clear actions for field service and technical support teams to address specific failure modes. Provide expert support on escalated customer cases to minimize system downtime. Contribute to the creation of documentation and training materials for the commissioning, operation, repair, and service of Tesla's Residential Storage products. Develop internal software tools and dashboards to improve efficiency and reporting. Analyse fleet data and create insightful reports to track performance and identify trends. What You’ll Bring Pursuing or graduated with a degree in Mechatronics Engineering, Electrical Engineering, Mechanical Engineering, Software Engineering, Physics, or a related field. Strong foundation in engineering fundamentals, with an understanding of firmware/software-enabled systems. Proactive problem-solver with a positive attitude and the ability to tackle complex challenges. Available for a full-time, 6-month internship. Desired Skills: Experience with battery systems and power systems. Proficiency in Python or similar languages for data analysis on large datasets. Knowledge of CAN Bus communication. Familiarity with Linux-based applications.