Senior Engineer, Battery Data and Modeling

At SES AI, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $110,000 and $150,000. SES AI considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and skills.

What We Offer

• Company paid Health and Dental insurance (ability to add dependents)
• Global travel insurance for employees traveling while on business
• Company sponsored retirement plan with 100% vesting and up to 5% match.
• Life and AD&D Insurance
• Employee Assistance Program
• Six Paid Holidays, and one floating holiday per a quarter equivalent to 4 per calendar year
• 10 accrued vacation days per calendar year that increases with tenure.
• Bonus + Equity, based on position and eligibility requirements

Note: SES AI benefit, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About SES AI:
SES AI Corp. (NYSE: SES) is powering the future of global electric transportation on land and in the air with the world’s most advanced Li-Metal batteries. SES AI is the first battery company in the world to accelerate its pace of innovation by utilizing superintelligent AI across the spectrum of its business, from research and development; materials sourcing; cell design; engineering and manufacturing; to battery health and safety monitoring. Founded in 2012, SES AI is an Li-Metal battery developer and manufacturer headquartered in Boston and with operations in Singapore, Shanghai, and Seoul.

Learn more at SES.AI

The position will be onsite and be based in Woburn, MA.

Responsibilities

• Lead battery data management and modeling efforts at SES Boston.
• Analyze battery testing data to extract critical features and identify underlying patterns.
• Utilize data modeling techniques to analyze multi-factorial tests and optimize key parameters.
• Collaborate with colleagues to develop physics-based models for Li-ion and Li-metal batteries.
• Work closely with AI/ML modeling engineers and cross-functional teams to interpret technical data and provide insights for advanced modeling tasks.

Qualifications & Skills

• Ph.D. in Chemistry, Chemical Engineering, Mechanical Engineering, Materials Science, Data Engineering, Computer Engineering, or related fields.
• Alternatively, a Bachelor’s degree with 5+ years or a Master’s degree with 3+ years of industry or academic experience in battery data analysis and modeling.
• Proficiency in Python programming, data base, and engineering metadata handling.
• Strong experience in data-driven battery predictive model development and cloud computing.
• Understanding fundamental electrochemical principles and testing methodologies.
• Ability for development and deployment of statistical model, machine learning model, deep learning model and AI model for battery cycle life prediction, as well as battery anomaly detection.
• Familiarity with Li-ion and/or Li-metal batteries, including materials, cell designs, and testing methods. Prior project experience in battery-related field, especially ESS, is a plus.
• Excellent problem-solving skills and attention to detail. Strong ability to work collaboratively within a cross-functional team. Willingness to engage in occasional fieldwork tasks.
• Willingness to accommodate occasional meetings outside regular hours due to time zone differences.