Senior Battery Modeling & Analytics Engineer

Peak Energy

Burlingame (CA)

On-site

USD 140,000 - 175,000

Full time

14 days+

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Benefits offered by this job

Flexible time off
Medical, dental, vision coverage
Strong 401(k) plan
Equity opportunities

Job summary

Peak Energy is seeking a Senior Cell Modeling & Analytics Engineer in the US to develop predictive models and data analytics for sodium-ion cells. You will drive cell design, performance optimization, and life prediction using thermal, ECM, and physics-based models, analyzing large performance datasets to surface trends and opportunities.

You will collaborate with cell and ESS engineers, implement algorithms in Python, and build reports and dashboards to communicate insights, while advancing

Qualifications

  • Minimum of 5 years hands-on experience in battery modeling and data analysis.
  • Deep understanding of lithium-ion and/or sodium-ion battery technologies, including failure mechanisms.
  • Proficiency in Python for data manipulation, physical modeling, statistics, and machine learning.
  • Experience with large datasets, statistical analysis, and data visualization.
  • Strong problem-solving skills and ability to interpret complex data.

Responsibilities

  • Develop, validate, and refine battery life models to predict cell life under various conditions.
  • Build thermal and heat-generation models at the cell level to characterize temperature distribution.
  • Create and parameterize ECMs for cell prediction and SOC/SOH estimation.
  • Develop physics-based models (electrochemical, pseudo-2D, D-F-N) to capture transport and degradation.
  • Construct 3D battery models for coupled electrochemical-thermal-mechanical simulation.
  • Analyze large datasets to identify trends, anomalies, and model accuracy.
  • Collaborate with cross-functional teams to integrate models into product-level simulations.
  • Develop data analysis algorithms using Python and create dashboards and reports.
  • Support root-cause analyses of battery failures and assist in design improvements.

Skills

Python
Data analysis
Battery modeling
Thermal modeling
ECMs
Physics-based modeling
3D battery modeling
Machine learning

Education

Bachelor’s or Master’s degree in Engineering

Tools

COMSOL
GT-AutoLion
PyBaMM
Simulink

Job description

Peak Energy is seeking a Senior Cell Modeling & Analytics Engineer in the US to develop predictive models and data analytics for sodium-ion cells. You will drive cell design, performance optimization, and life prediction using thermal, ECM, and physics-based models, analyzing large performance datasets to surface trends and opportunities.

You will collaborate with cell and ESS engineers, implement algorithms in Python, and build reports and dashboards to communicate insights, while advancing

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