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Sila Nanotechnologies

Licenses and manufactures silicon-based battery materials

Senior Staff Engineer - Battery Modeling

Translational Research & Bench BiologyConfirmed live in the last 24 hours
Full-timeAlameda, CA, USAIn-person

About the Job

Requirements

  • A Ph.D. in Chemistry, Materials Science, Chemical Engineering, or a related physical science discipline is required.
  • Deep experience integrating quantum chemistry methods, including density functional theory and electronic structure calculations, with experimental materials characterization is required.
  • Deep experience developing and applying physics-based models for lithium-ion batteries is required.
  • High proficiency in Linux environments, command-line interface tools, bash scripting, Python, and numerical solvers for physical chemistry workflows is required.
  • Hands-on experience in electrochemistry for lithium-ion batteries or a related field is required.
  • A solid grasp of standard characterization methods, including BET, TGA, Raman, and SEM, and advanced spectroscopic or synchrotron techniques, including XAS, XPS, and EPR, applied to silicon- or carbon-based active materials is required.
  • Must wear required personal protective equipment, including a lab coat, safety glasses, gloves, and steel-toe shoes, when working in laboratory environments.
  • Must operate specialized analytical instrumentation, gloveboxes, and computational infrastructure in fixed laboratory and office settings.
  • Must move across facilities and maintain focus during extended computational runs or analytical testing protocols.

Responsibilities

  • Use standard and advanced characterization methods, including BET, TGA, Raman, SEM, XAS, XPS, and EPR, alongside computational chemistry tools, including density functional theory, electronic structure modeling via Orca, Gaussian, or Q-Chem, and numerical solvers, to quantify correlations between material properties and electrochemical performance of lithium-ion battery active materials and coproducts.
  • Develop and operationalize half-cell and full-cell electrochemical tests to extract material-level kinetics and physics for lithium-ion active materials.
  • Build and maintain automated data-processing, simulation, and modeling workflows using Linux command-line tools, bash scripting, and Python for material- and cell-level modeling.
  • Translate computational insights into physical material design improvements while guiding internal teams and external customers on cell-level design optimization for maximum power and energy efficiency.
  • Use empirical historical datasets to create model scenarios that inform design opportunities for energy-to-power differentiation.

About the Company

Sila Nanotechnologies

Licenses and manufactures silicon-based battery materials

Sila Nanotechnologies develops and manufactures advanced battery materials to improve lithium-ion batteries for electric vehicles and energy storage. Its Titan Silicon technology replaces part of traditional anode materials with silicon-based compounds to increase energy density, boosting range and performance. The company licenses its technology and sells high-performance battery materials to major battery and EV manufacturers, partnering with Panasonic to integrate its materials into their batteries. It plans to scale production across California and Washington to about 150 GWh in five years, aiming to lower costs and promote sustainability in EVs.

Company size
201-500
Company stage
Debt Financing
Total funding
$3.2B
Headquarters
Alameda, CA
Founded
2011

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