SES AI Corp

Engineer

• Lead key OEM customer programs and serve as the primary technical interface between the customer, R&D, manufacturing, and quality teams.
• Develop and manage the technical roadmap for next-generation battery platforms, ensuring alignment with customer requirements and business strategy.
• Drive cross-functional alignment to seamlessly integrate R&D outputs into manufacturable and scalable solutions.
• Oversee the entire product lifecycle, from initial concept to customer testing and validation, ensuring product quality and manufacturability.
• Spearhead process and product optimization efforts, including DOE (Design of Experiments) design and comprehensive failure analysis to scale technology from the lab to prototype.
• Apply deep expertise in electrochemical engineering, materials chemistry, and interfacial science to solve complex product development challenges.
• Translate next-generation battery concepts into clear, implementable, and manufacturable solutions suitable for mass production and client delivery.

Senior Battery Product Development Engineer

• Modeling & Algorithm Development
• Design and develop core physics-based battery models and multi-physics simulations that accurately represent cell behavior.
• Engineer and apply ML/Deep Learning algorithms (using libraries like TensorFlow) for predictive modeling, safety assessment, and performance optimization.
• Develop AI4Science algorithms that merge materials physics and computational science to solve complex battery challenges.
• Digital Twin Architecture
• Architect and build the digital twin battery system—a virtual battery trained on real-time cell data to continuously monitor and predict safety and performance metrics.
• Integrate algorithms into big-data systems and infrastructure, ensuring the predictive models are scalable and robust.
• Domain Bridging & Optimization
• Maintain a hybrid understanding of data science, materials physics, algorithm infrastructure, and AI models to ensure model validity and utility.
• Utilize computational tools like COMSOL Multiphysics and finite element analysis (FEA) for complex modeling and simulation tasks.

Battery Algorithm Engineer

AI Engineer

• Architect novel AI systems and deep neural architectures (e.g., Transformers, CNNs) inspired by principles of systems neuroscience and neural coding principles.
• Design and implement large-scale multimodal foundation models and agentic AI systems capable of complex reasoning over molecular and battery datasets.
• Develop methods for model interpretability, representation engineering, and causal reasoning to ensure AI results are explainable and trustworthy for materials science.
• Lead software development efforts for high-performance computing (HPC), focusing heavily on GPU programming and scaling the training and inference efficiency of large neural networks.
• Optimize complex ML frameworks (like JAX) within systems and cluster computing environments (e.g., Singularity).
• Create automated data-labeling and behavioral encoding models specifically designed to enhance Molecular AI training and data efficiency.
• Apply Scientific ML principles to complex molecular and battery datasets, translating biological computation concepts into practical AI solutions for materials discovery.

Scientist, Molecular AI Architecture

Business Development Rep

• Lead technical B2B sales efforts within the new energy, lithium battery, and chemical materials markets, managing the entire enterprise account lifecycle.
• Identify and secure clients in frontier technology areas, specifically driving the adoption of AI-powered smart lab solutions.
• Conduct comprehensive market analysis to identify key opportunities and strategic partnerships within the energy OEM market and chemical materials industry.
• Translate complex customer needs and technical challenges into clear solution requirements for the product and engineering teams.
• Develop and deliver compelling technical solution presentations that articulate the unique value proposition of our AI solutions within material science workflows.
• Manage the negotiation process, driving agreements to completion and securing commercial success.
• Maintain a deep understanding of customer battery/chemical material workflows, effectively communicating the value of our AI4Science ecosystem, including laboratory automation.

Commercial & Business Development Leader

Full-stack Engineer

• Architect and lead AI-driven molecular simulation and materials informatics platform for next-generation battery materials.
• Bridge advanced AI model architectures with computational chemistry, molecular dynamics (MD), and phase-field simulation.
• Support the productization of AI4Science capabilities—from ML force fields and surrogate models to automated MD workflows.
• Lead the end-to-end design of a scientific computing platform for battery materials, integrating AI/ML models, experimental data, and cloud infrastructure.
• Architect and implement high-performance computing (HPC) and C++-based simulation services for large-scale MD, phase-field, and related materials models.
• Drive development and deployment of AI/ML models for materials informatics, including ML force fields, surrogate models, and uncertainty-aware prediction pipelines.
• Work closely with battery scientists, electrochemists, and experimentalists to map R&D needs into platform features and workflows.

Senior Battery Product Development Engineer

Battery Algorithm Engineer

Scientist, Molecular AI Architecture

Commercial & Business Development Leader

Product Engineer, AI Battery Simulation