Battery Electrolyte Scientist & Materials Chemistry Leader

SES

Boston (MA)

On-site

USD 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Competitive salary
Comprehensive health coverage
Equity/stock options
Professional growth opportunities

Job summary

A leading energy transition company in Boston seeks a Battery Electrolyte Scientist & Materials Chemistry Leader to drive R&D programs focused on next-generation battery systems. The ideal candidate will have a Ph.D. in a relevant field and extensive experience in materials chemistry and electrochemistry. Responsibilities include overseeing experimental validation, managing R&D teams, and integrating AI in the materials innovation roadmap. This position offers competitive salary, benefits, and significant growth opportunities in a dynamic environment.

Qualifications

  • Ph.D. in Materials Science and Engineering, Chemical Engineering, or related field.
  • Proven background in directing R&D programs and leading multidisciplinary teams.
  • Deep expertise in fundamental materials chemistry and interfacial science.

Responsibilities

  • Direct complex electrolyte R&D programs for next-generation battery systems.
  • Lead multi-R&D teams to achieve innovation milestones.
  • Produce high-quality data for AI model training and battery component validation.

Skills

Electrochemistry expertise
Materials chemistry
AI model integration
Data-driven experimentation

Education

Ph.D. in Materials Science

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

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 Hermes team is seeking an exceptional Battery Electrolyte Scientist & Materials Chemistry Leader to serve as an R&D leader specializing in electrolyte development and interfacial chemistry. This role is critical for producing experimentally validated battery component data, guiding AI model training, and defining the materials innovation roadmap for next‑generation energy storage systems. As an Electrolyte Scientist and R&D Leader, you will direct key experimental programs and manage the strategic interface between chemistry and AI.

Essential Duties and Responsibilities:
R&D Program Leadership
  • Direct complex electrolyte R&D programs focused on next‑generation battery systems, ensuring alignment with customer and product requirements (e.g., safety, cyclability, low/high temperature performance).
  • Lead multi‑R&D teams composed of chemists, data scientists, and engineers to achieve key innovation milestones.
  • Define the materials innovation roadmap, particularly related to electrolyte formulation and interfacial science.
Experimental Validation & Data Generation
  • Oversee SEI (Solid Electrolyte Interphase) engineering and additive optimization programs, leveraging expertise in fundamental materials chemistry.
  • Lead cell‑level validation and the integration of new electrolytes into prototype cells.
  • Produce high‑quality, experimentally validated battery component data, guiding AI model training by ensuring data quality, experimental reproducibility, and comprehensive parameter space coverage (Data‑driven experimentation).
AI Integration & Tools
  • Utilize molecular informatic tools to accelerate battery component optimization cycles, effectively bridging experimental data with AI‑generated candidates.
Education and/or Experience:
  • Education: Ph.D. in Materials Science and Engineering, Chemical Engineering, Electrochemistry, or a closely related materials chemistry field.
  • R&D Leadership: Proven background as an electrochemical researcher and R&D leader experienced in directing technical programs and managing multi‑disciplinary research teams.
  • Core Chemistry Expertise: Deep expertise in fundamental materials chemistry, interfacial science, additive optimization, and Solid‑Electrolyte Interphase (SEI) engineering.
  • Validation Experience: Extensive experience in cell‑level validation and advanced characterization techniques, demonstrating an ability to integrate new materials into prototype cells.
  • Data Focus: Demonstrated experience in data‑driven experimentation and structuring chemistry data for AI model consumption.
Preferred Qualifications:
  • Industry Focus: Previous experience at leading battery manufacturers, electrolyte R&D teams, or applied materials chemistry labs, especially those focused on next‑generation battery and energy storage systems.
  • Program Alignment: Strong track record of successfully aligning R&D execution with clear customer and product requirements.
  • Informatics Tooling: Ability to use or integrate results from molecular informatic tools for component optimization.
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