---
title: 'Computational Materials Scientist at SES'
canonical: 'https://feeny.ai/job/computational-materials-scientist-ses-woburn-b4znx7pnzgxs'
type: 'job'
last_seen: '2026-09-11'
---

# Computational Materials Scientist at SES

- **Company:** SES
- **Location:** Woburn, MA
- **Compensation:** $180k–$200k
- **Work type:** onsite
- **Posted:** 2025-12-03
- **Last confirmed live:** 2026-09-11
- **Apply:** https://boards.greenhouse.io/sesai/jobs/4635408005?gh_jid=4635408005

## Job description

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world’s energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones.

To learn more about us, please visit: [www.ses.ai](http://www.ses.ai/)

What We Offer:

- A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company.
- The opportunity to contribute directly to a meaningful scientific project—accelerating the global energy transition—with a clear and broad public impact.
- Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology.
- Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering.
- Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions.

What we Need:

The SES AI Prometheus team is seeking an exceptional Computational Materials Scientist to combine physics-based simulation (DFT, MD, quantum modeling) with AI-assisted material prediction to generate high-quality training data and accelerate materials discovery. This role is crucial for advancing our understanding of electrochemical energy materials at the atomic level. As a Computational Materials Scientist, you will be a core data-driven modeler responsible for executing and automating complex simulations.

Essential Duties and Responsibilities:

- Atomistic Modeling & Simulation
- Conduct and oversee DFT (Density Functional Theory), MD (Molecular Dynamics), and QM (Quantum Mechanics) simulations of battery components, including electrolytes, coatings, and electrodes.
- Develop and refine ML-enhanced force fields and surrogate models to accelerate simulation time scales and enable multi-scale simulation efforts.
- Apply expertise in atomistic simulation and quantum modeling to solve key challenges in electrochemical energy materials (e.g., batteries/fuel cells).
- AI Data Generation & Prediction
- Generate high-quality, structured simulation data to serve as training sets for AI property prediction models and material screening modules.
- Contribute to the development of battery domain LLM features and advanced property-prediction models.
- Automate complex simulation workflows using strong coding practices to enhance efficiency and scalability.
- Collaboration & Tooling
- Collaborate with experimental teams, leveraging a hybrid computational + experimental literacy to validate models and drive design iteration.
- Utilize advanced simulation tools (VASP, Quantum Espresso) and data science libraries (TensorFlow, Pandas) to manage and analyze large datasets.

Education and/or Experience:

- Education: Ph.D. in Mechanical Engineering, Materials Science, Chemical Engineering, or a closely related computational/physics field.
- Core Simulation Expertise: Deep and extensive experience in atomistic simulation and quantum modeling, including proficiency with key QM/DFT tools (VASP, Quantum Espresso) and MD simulations.
- Domain Focus: Strong background in electrochemical energy materials and extensive computational work focused on batteries/fuel cells.
- Coding Proficiency: Strong coding skills in Python (along with related libraries like Pandas and TensorFlow) for simulation workflow automation and data analysis.
- ML Application: Experience in developing or utilizing ML-enhanced force fields and surrogate models for materials prediction., or equivalent practical experience.

Preferred Qualifications:

- LLM Development: Experience in developing battery domain LLM features or property-prediction models.
- Hybrid Skillset: Demonstrated experience working in a hybrid computational + experimental environment.
- Tooling Diversity: Familiarity with additional data analysis tools like R, SQL, MATLAB, and time-series forecasting libraries like Prophet.
- Target Background: Previous experience at national laboratories, XtalPi, Entalpic, or deep battery modeling groups.

The salary range for this position as required under applicable pay transparency laws.

Salary Range $180,000—$200,000 USD

## About SES

## Company Overview
- **One-liner**: SES AI Corp. is a publicly traded company that develops AI-enhanced high-energy-density Li-Metal and Li-ion batteries for electric vehicles, urban air mobility, drones, energy storage, and robotics.
- **Entity Type**: Public (NYSE: SES)
- **Headquarters**: Woburn, Massachusetts, USA (with major operations in Shanghai, China and Chungju, South Korea)
- **Founded**: 2012
- **Founders**: Dr. Qichao Hu (Founder, Chairman & CEO)

## Core Business
- Primary industry: Advanced battery manufacturing and materials science (Li-Metal and Li-ion), with a strong focus on AI-driven material discovery and battery management.
- Target customers: B2B – automotive OEMs (GM, Honda, Hyundai), drone manufacturers, urban air mobility companies, and energy storage system integrators.
- Mission: “Accelerate the world’s energy transition through material discovery and battery management.”

## Products & Services
- **Li-Metal Battery Cells**: High-energy-density cells in form factors like 30Ah, 100Ah, and 6Ah, designed for EV, UAM, drones, and robotics.
- **Molecular Universe (AI4Science SaaS Platform)**: An AI-driven platform that maps small molecules and deploys AI agents to accelerate electrolyte material discovery for both Li-Metal and Li-ion chemistries.
- **Avatar (AI for Manufacturing & Safety)**: A set of AI solutions that capture manufacturing defects beyond conventional quality control and predict battery health and vehicle value.
- **ESS (Energy Storage Systems)**: Fully integrated hardware/software solutions for data centers and commercial & industrial applications, including battery health and safety management powered by Molecular Universe.

## Market Standing
- **Valuation/Market Cap**: Approximately $1.0 billion (as of mid-2026, per LinkedIn data)
- **Key Metric**: Annual revenue – Not publicly available (SEC filings exist but not summarized in available sources); Total funding – IPO in 2022 (amount not specified in search results)
- **Notable Investors/Partners**: Joint development agreements with General Motors, Honda, and Hyundai – the only Li-Metal battery company with three such major automotive partnerships.
- **Growth Signals**: Opened a new manufacturing facility in Chungju, South Korea; expanded NDAA-compliant drone cell production; Shanghai Giga facility (300,000 sq ft) is one of the largest Li-Metal pilot plants globally. However, LinkedIn shows a 6.7% year-over-year decline in headcount (98 employees as of mid-2026).

## Competitive Advantages
- First batteries in the world to contain electrolyte materials discovered by AI (via Molecular Universe platform).
- Deep partnerships with three global automakers, providing co-development and potential supply channels.
- End-to-end R&D from AI-driven material discovery to large-format cell manufacturing.
- Global footprint with facilities in the US, China, and South Korea, enabling access to different supply chains and markets.

## Strategic Focus
- Scaling Molecular Universe to accelerate material discovery for both next-generation Li-Metal and mainstream Li-ion applications.
- Expanding Avatar AI solutions to ensure 100% battery safety in the field and reduce manufacturing defects.
- Diversifying beyond automotive into drones, urban air mobility, robotics, and stationary energy storage (ESS).
- Strengthening NDAA-compliant supply chains for defense and drone applications.

## Why Work Here
- Culture: “SES welcomes all, but is not for everyone” – the company seeks top-tier talent in electrochemistry, computational chemistry, cell engineering, AI/ML, and materials science.
- Locations: Woburn (Boston HQ), Shanghai, Chungju (South Korea), with additional offices in Hong Kong, Singapore, and Malaysia.
- Work policy: Likely on-site/lab-intensive given battery R&D and manufacturing; specific remote/hybrid policies not disclosed.
- Notable perks: Not explicitly listed, but employees have backgrounds from MIT, Harvard, national labs, and top battery companies. Salary ranges from LinkedIn: Technician ~$60k, Senior Electrical Engineer ~$131k, Senior Software Engineer ~$130k.
- Engineering culture: Heavy emphasis on AI for science, autonomous labs, and real-world impact on energy transition.

## Sources
1. [SES AI About Us](https://www.ses.ai/about-us)
2. [SES AI Official Site](https://www.ses.ai/)
3. [SES AI Team Page](https://www.ses.ai/ses-team)
4. [SES AI LinkedIn](https://www.linkedin.com/company/ses-ai)
5. [SES AI Careers (Greenhouse)](https://job-boards.greenhouse.io/sesai)

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