Sesai

Sesai

Computational Materials Scientist

Greater Boston (Woburn, MA) – On-site/Hybrid

Sponsorship not specified$180k-$200kDetected 29 days ago
PrometheusMachine LearningTensorFlowPandasData ScienceLLMsRoboticsMechanical DesignResearchCollaboration

About the role

  • SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management.
  • 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.

Responsibilities

  • Develop and refine ML-enhanced force fields and surrogate models to accelerate simulation time scales and enable multi-scale simulation efforts.
  • Utilize advanced simulation tools (VASP, Quantum Espresso) and data science libraries (TensorFlow, Pandas) to manage and analyze large datasets.

Requirements

  • Deep and extensive experience in atomistic simulation and quantum modeling, including proficiency with key QM/DFT tools (VASP, Quantum Espresso) and MD simulations.
  • Core Simulation Expertise: Deep and extensive experience in atomistic simulation and quantum modeling, including proficiency with key QM/DFT tools (VASP, Quantum Espresso) and MD simulations.

Compensation

  • A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company.

Benefits

  • A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company.

Company info

  • We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development.

This listing is sourced directly from Sesai's careers page and normalized into a canonical job model.