Tesla Software Analytics Diagnostics Engineer Chassis Systems 

United States, California, Palo Alto 

13015868

Using knowledge of the software, customer behaviors, and real-world fleet exposure, you will identify failure modes with precision and urgency, develop fleet data-driven requirements for diagnostics and prognostics, and inform system design decisions. You will collaborate cross-organizationally with software, mechanical, and electrical teams to define the confidence metrics and rollout strategy for new safety-critical algorithms. You will develop dashboards to visualize fleet data trends and ensure cross-organizational alignment on behaviors and critical metrics.

• Analyze vehicle data and extract useful statistics and insights to drive actionable updates to the software, product performance, quality, and customer experience

• Write efficient SQL/Python code and complex queries across extensive data sets

• Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports

• Work with the software developers to implement additional diagnostics, alerts, or software changes.

• Automate analyses and author pipelines using SQL, Python, and Airflow based ETL framework

• Bachelor's Degree in Mechanical Engineering, Computer Science, Math, Statistics or related field, or equivalent experience

• Prior internship/work experience in data analytics or related field

• Demonstrable engineering fundamentals in vehicle chassis systems or automotive physics.

• Proven proficiency in SQL and Python for writing efficient queries, data manipulation, and analysis

• Working knowledge of data visualization techniques and tools using Matplotlib, Seaborn, etc.

• Experience working with time-series sensors data to perform robust engineering analyses

• Demonstrated ability to take on projects with a sense of ownership and entrepreneurial mindset