SES AI Tech Stack

Li-Metal battery developer using AI for materials discovery and cell optimization

Services for Renewable Energy Woburn, MA 201–500 employees Founded 2012 Public Company

SES AI manufactures Li-Metal batteries for electric vehicles and aircraft, with an unusually deep computational stack: TensorFlow, PyTorch, VASP, LAMMPS, GROMACS, plus emerging RAG adoption and LLM/multi-agent projects. The hiring mix skews heavily toward engineering and research (19 of 28 roles), with senior-level dominance, suggesting deep R&D intensity and late-stage product maturation. Active projects span molecular simulation, electrolyte formulation, digital twins, and AI-driven materials discovery — indicating the company is automating discovery loops rather than relying on manual experimentation.

Tech Stack 39 technologies

Core StackTensorFlow Python C++ PyTorch scikit-learn NumPy Pandas MLflow Docker Jenkins GitLab CI/CD LangChain Pinecone C# .NET VASP LAMMPS GROMACS FORTRAN Matplotlib RDKit Git Jupyter Notebook JAX Singularity LlamaIndex Milvus FAISS WPF TCP+8 more

AdoptingRAG

What SES AI Is Building

◆Challenges

Accelerating electrolyte formulation design
B2b sales growth in new energy markets
Fault diagnosis
Client acquisition in frontier technology areas
Real-time battery safety prediction
Battery performance optimization
Platform usability and scaling
Accelerating materials discovery
Battery performance and safety
Scaling battery technology from lab to production

▲Active Projects

Ses molecular universe
B2b sales and partnership growth in new energy markets
Scaling electrolyte programs for ess and drone
Market analysis for strategic partnerships in energy oem market
Electrolyte formulation development
Electrolyte system safety testing
Digital twin battery system
Large language models for battery discovery
Deep space multi-agent system
Ai-driven materials discovery platform

Hiring Activity

Decelerating30 roles · 6 in 30d

Department

Engineering

Research

Data

Product

Sales

Manufacturing

Marketing

Ops

Seniority

Senior

Mid

Lead

Manager

Junior

Notable leadership hires: Materials Business Unit Head

Company intelligence

Find more companies like SES AI by tech stack, pain points and active projects

Get started free

About SES AI

SES AI is a publicly traded Li-Metal battery manufacturer founded in 2012, headquartered in Woburn, MA, with operations spanning Singapore, Shanghai, and Seoul. The company sells to electric vehicle and aerospace OEMs, positioning itself as a supplier of advanced battery cells rather than a platform or software vendor. Core R&D centers on electrolyte chemistry, cell design optimization, and manufacturing scale-up; recent projects include digital twin systems for battery health monitoring, large-language-model applications for discovery acceleration, and B2B partnerships in the energy OEM market. Stated pain points include accelerating electrolyte formulation, scaling from lab to production, real-time safety prediction, and client acquisition in frontier markets.

HeadquartersWoburn, MA

Company Size201–500 employees

Founded2012

Hiring MarketsUnited Kingdom, United States, China

Frequently Asked Questions

What tech stack does SES AI use?

Computational chemistry (VASP, LAMMPS, GROMACS), machine learning (TensorFlow, PyTorch, scikit-learn), data tools (Pandas, NumPy, Jupyter, MLflow), LLM infrastructure (LangChain, LlamaIndex), and vector databases (Milvus, FAISS, Pinecone). Recently adopting RAG.

What is SES AI working on?

Active projects include AI-driven materials discovery, electrolyte formulation and safety testing, digital twin battery systems, large-language-model applications for cell design, B2B sales expansion in energy OEMs, and scaling production from lab to manufacturing.