SES AI Corp., an NYSE-listed company (NYSE: SES), is a pioneering developer and manufacturer of advanced Li-Metal batteries for electric transportation and other applications. Leveraging superintelligent AI across all stages of its business, from R&D to manufacturing, SES AI accelerates innovation in renewable energy, drones, EVs, and more. Headquartered in Boston with international operations, the company's distinctive approach combines cutting-edge technology with a focus on safety and sustainability.
Open Positions
Technical Product Manager
Ph.D. in Computational Chemistry, experience in product management, and proficiency in DFT and MD simulations
Cell Product Design Engineer
M.S. in Materials Science, Chemical Engineering, or a closely related engineering field, and 5-10 years of experience in pouch-type Li-ion battery cell design and NPI processes
Battery Algorithm Engineer
Ph.D. in Materials Engineering, expertise in physics-based battery modeling, and experience with algorithm infrastructure
Senior Scientist, Electrolyte
MS degree in Electrochemistry, Materials Science, or related field, 3+ years of experience in electrolyte or battery materials development, hands-on expertise in advanced electrochemical characterization
Scientist, Molecular AI Architecture
Ph.D. in Computational and Systems Biology, experience in software development for HPC environments, and practical experience in designing and training foundation models
Commercial & Business Development Leader
B.A. or B.S. in Applied Chemistry, Chemical Engineering, Materials Science, or a closely related technical field, Technical B2B sales experience, Deep technical literacy in battery materials, lithium battery technology, and the broader new energy ecosystem
Senior Material Scientist, Synthesis
PhD in organic chemistry, synthetic chemistry, or related field, with experience in chemical reaction mechanism, reaction optimization, and control, and team spirit
AI/ML Engineer for Manufacturing Large Model (Downstream)
Master's degree, 3+ years of experience in machine learning or AI, proficient in Python, TensorFlow, PyTorch
Product Engineer, AI Battery Simulation
PhD in Materials Science or related field, 1+ years experience in computational materials science, and experience with AI/ML for materials informatics
Machine Learning Scientist, AI Explainability
MS or PhD in Computer Science, Statistics, or related field, with strong foundational knowledge in Machine Learning and Deep Learning
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