Cell Materials Modeling Engineer

Join to apply for the Staff Cell Materials Modeling Engineer role at Tesla
.

We are seeking a highly skilled, motivated, and experienced engineer to lead materials modeling within the cell modeling team. The candidate will be responsible for developing and executing computational simulations geared toward cell materials discovery and optimization. The role requires cross‑functional collaboration with materials and process engineers to accelerate innovation in cell materials to improve performance and longevity for various cell chemistries used in Tesla products.

• Conduct DFT and MD simulations to predict and analyze the properties of materials for Li‑ion batteries, including electrodes, electrolytes, and interfacial components
• Develop computational models for understanding ion transport, phase stability, and electrochemical performance
• Leverage data science techniques, including machine learning, to accelerate materials discovery and optimize existing material systems
• Collaborate with experimental teams to validate simulation results and guide material synthesis and characterization
• Perform high‑throughput computational screening of materials databases for new candidates
• Write and maintain detailed technical reports, presentations, and scientific publications
• Stay updated on emerging trends and technologies in materials modeling and battery research
• Lead a small team of materials modeling engineers

• Degree in Materials Science, Physics, Chemistry, Chemical Engineering, or equivalent experience
• 5+ years of industry experience in materials modeling
• Strong expertise in electronic structure theory and DFT applications and MD simulation techniques and software (e.g., VASP, Quantum ESPRESSO, Orca, reactive and non‑reactive force field models, LAMMPS, and AMS)
• Familiarity with high‑performance computing environments and job scheduling systems
• Strong programming skills and 3+ years’ experience in Python, MATLAB, or equivalent, with experience in scripting and workflow automation; preference for experience in developing materials discovery tools using any of these packages
• Excellent written and communication skills and a collaborative working style
• Knowledge of electrochemistry and solid‑state physics
• Proficiency in deep learning frameworks, including PyTorch, Tensor Flow, JAX, and related libraries, for the development and implementation of AI‑driven models in materials discovery
• Proven track record of peer‑reviewed publications in relevant fields

• Aetna PPO and HSA plans – 2 medical plan options with $0 payroll deduction
• Family‑building, fertility, adoption, and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both with a $0 paycheck contribution
• Company Paid HSA Contribution when enrolled in the High Deductible Aetna 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
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions), and Paid Holidays
• Back‑up childcare and parenting support resources
• Voluntary benefits including 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

Expected Compensation $112,000 - $204,000 annual salary + cash and stock awards + benefits. Pay offered may vary based on location, market, and individual qualifications.

Mid‑Senior level

Full‑time

Engineering and Information Technology

Motor Vehicle Manufacturing, Renewable Energy, Semiconductor Manufacturing, and Utilities

Referrals increase your chances of interviewing at Tesla by 2x

Location:

Sunnyvale, CA