Peak Energy

Peak Energy

Senior Cell Modeling & Analytics Engineer

Broomfield, Colorado or Burlingame, California · Senior · Full-time

Sponsorship not specifiedDetected 19 hours ago
AlgorithmsData AnalysisData ScienceResearchLeadershipRenewable Energy

About the role

  • Senior Cell Modeling & Analytics Engineer
  • Analyze large sets of battery performance data to identify trends, anomalies, and optimization opportunities and assess model accuracy.

Responsibilities

  • Develop, validate, and refine battery life models to predict cell life and performance under various operating conditions.
  • Develop thermal and heat-generation models at the cell level to characterize temperature distribution, heat rejection, and thermal behavior under operating and abuse conditions, and to inform cell and system thermal design.
  • Build and parameterize equivalent circuit models (ECMs) for cell performance prediction, state estimation (SOC/SOH), and integration into system-level and BMS simulations.
  • Develop physics-based models (e.g., electrochemical / pseudo-2D / Doyle-Fuller-Newman) to capture the underlying transport, kinetics, and degradation mechanisms that govern cell behavior and guide design decisions.
  • Build 3D battery models to simulate spatially resolved electrochemical, thermal, and mechanical behavior across cell geometries and formats.
  • Collaborate with cross-functional teams, including cell engineers and ESS engineers, to integrate battery data and models into broader product-level models and enhance battery performance in the ESS product.
  • Create and maintain comprehensive reports, visualizations, and dashboards to communicate findings and recommendations.
  • Assist in root-cause analysis on battery failures and contribute to improving product design and performance.

Requirements

  • Bachelor's or Master's degree in Engineering, Chemistry, Materials Science, Data Science, Computer Science, or a related field.

Skills

  • Continuously research advancements in battery technologies, modeling methods, and data science methodologies to improve current processes.

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