Cell Data Analysis Engineer

As a member of the Cell Physics Modeling team, this engineer will develop and maintain robust data and analysis pipelines and perform targeted analysis on electrode swell test data to advance fundamental understanding of electrode swelling behavior. This role emphasizes rapid data ingestion, cleaning, quality screening, image processing, statistical analysis, and visualization to support both mechanical and electrochemical modeling efforts. A background including electrochemistry and/or experience with lithium-ion batteries is highly valued.

• Design, build, and maintain data pipelines that aggregate test inputs, experimental conditions, and multi-modal outputs (thickness, force, cycling, imaging, SEM, etc.) into structured databases
• Perform efficient data cleaning, quality screening, statistical analysis, and visualization to rapidly identify trends, anomalies, and mechanistic insights in swelling behavior
• Apply image processing techniques to analyze SEM, optical, CT scan, and other imaging data for electrode swelling quantification and particle-level insights
• Support electrochemistry-informed analysis of swelling mechanisms under varying conditions (SOC, temperature, mechanical constraint, chemistry, cycling protocols)
• Develop and automate dashboards, reports, and standardized analysis workflows to enable fast-turnaround insights for modelers and cross-functional stakeholders
• Collaborate with experimentalists on test method development and DOE execution
• Contribute to model validation activities by correlating test data with mechanical and coupled mechanical-electrochemical models
• Document and communicate analysis methods, pipelines, and key findings clearly

• Degree in Computer Science, Materials Science, Mechanical Engineering, or equivalent experience (electrochemistry background preferred)
• Demonstrated experience building data pipelines and performing analysis in Python (Pandas, NumPy, Matplotlib/Plotly or equivalent)
• Experience with databasing, automated reporting, and large experimental datasets
• Image processing and computer vision experience (e.g., for SEM or swelling image analysis) is a plus
• Familiarity with machine learning techniques for data analysis, image segmentation, or predictive modeling is desirable
• Familiarity with lithium-ion battery testing, swelling characterization, or electrochemical techniques is a strong plus
• Ability to translate raw test data into actionable insights for modeling and design teams
• Strong communication skills and preference for working in cross-functional teams
• Growth mindset and comfort operating in a fast-paced and dynamic environment

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• Medical plans > plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• Company paid Basic Life, AD&D
• Short-term and long-term disability insurance (90 day waiting period)
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.