SES AI pairs a battery R&D and manufacturing operation with a heavy computational science stack: VASP, Quantum ESPRESSO, LAMMPS and GROMACS run alongside PyTorch, JAX, Ray and RDKit on Slurm and Kubernetes. That mix points to simulation-plus-ML electrolyte design at scale. Hiring is accelerating with a notable sales component, aligning with job-post themes around commercializing AI-powered lab solutions and growing B2B sales in new energy markets.
Notable leadership hires: Battery Manufacturing Director
SES AI is a publicly traded battery company founded in 2012 and headquartered in Woburn, MA. It develops and manufactures Li-Metal batteries for electric transportation, including electric vehicles, drones, UAVs and HAPS, and applies AI across R&D, cell design, manufacturing and battery health monitoring. The company has 201–500 employees and is currently hiring in the United States and China. Its work spans electrolyte formulation, prototype cell validation and manufacturing support.
SES AI uses Python, C++ and Fortran with PyTorch, TensorFlow, JAX and scikit-learn, plus simulation tools like VASP, Quantum ESPRESSO, LAMMPS and GROMACS, running on GCP, Slurm, Kubernetes and Ray.
Job posts point to AI-driven lab solutions, electrolyte formulation for high-energy lithium-ion batteries, SEI and additive optimization, prototype cell validation and a global patent strategy.
SES AI is hiring in the United States and China, with hiring accelerating across engineering, sales, product and manufacturing, including a Battery Manufacturing Director role.
Other companies in the same industry, closest in size
SES AI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
