Senior Cell Modeling & Analytics Engineer

Peak Energy; Burlingame (CA); On-site; USD 140,000 - 175,000; Full time

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

Job Title:

Senior Cell Modeling & Analytics Engineer

Location:

Broomfield, CO or Burlingame, CA

Department:

Cell Engineering

Reports To:

Cell Applications Engineering Manager

Position Type:

Full-Time

About Peak Energy

Peak Energy is the first American venture to advance globally proven Sodium-Ion battery systems as the storage standard for the new era of renewable energy on a resilient grid.

Sodium-Ion is cheap, readily available and safe, making it the leading contender in a rapidly evolving market.

Our leadership team is powered by decades of expertise in scaling gigawatt-level innovation at world-class companies such as Tesla, Northvolt, Apple, Powin, Enovix, Zipline, Solid Power, and Fluence. We are backed by strategic investment and product partners such as TDK Ventures and Eclipse Ventures.

We are a team of engineers, operators, entrepreneurs, and partners driven by a shared ambition to set the new performance standard for renewable energy and grid resilience.

If you want to define how a new chemistry is tested, validated, and trusted at commercial scale — and to build the lab, fixtures, and methods that make that possible — we encourage you to apply and help us power a more sustainable future.

About the Role - Senior Cell Modeling & Analytics Engineer

Peak Energy is seeking a Senior Cell Modeling & Analytics Engineer to develop the predictive models and data analytics that drive cell design, performance optimization, and life prediction for sodium-ion cells. The ideal candidate brings a deep understanding of battery failure mechanisms and applies that expertise across thermal and heat-generation modeling, equivalent circuit modeling, physics-based electrochemical modeling, and 3D battery modeling. In this role you will build models that predict battery life, characterize thermal behavior, and optimize performance, and you will analyze large sets of cell performance data to surface trends, anomalies, and optimization opportunities.

The successful candidat e combines strong modeling and simulation skills with rigorous data analysis to create models that drive innovation and efficiency across our battery-powered products.

What You'll Do (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.
• Analyze large sets of battery performance data toidentifytrends, anomalies, and optimization opportunitiesand assess model accuracy.
• Collaborate with cross-functional teams, including cell engineers and ESS engineers, to integrate battery data and models into broader product-level modelsand enhance battery performance in the ESS product.
• Build and implement algorithms for advanced data analysis, using tools like Python.
• Create andmaintaincomprehensive reports, visualizations, and dashboards to communicate findings and recommendations.
• Assistinroot-cause analysisonbattery failures and contribute to improving product design and performance.
• Continuously research advancements in battery technologies, modeling methods, and data science methodologies to improve current processes.

What You'll Bring (Qualifications)

• Bachelor's orMaster's degree in Engineering, Chemistry, Materials Science, Data Science, Computer Science, ora relatedfield.
• Minimum of 5 years of hands-on experience in battery modeling and battery data analysis.
• Deep understanding of lithium-ion and/orsodium-ion battery technologies, including their failure mechanisms.
• Hands-on experience with cell modeling approaches spanning thermal / heat-generation modeling, equivalent circuit modeling, and physics-based electrochemical modeling.
• Proficiencyin programming languages such as Python, with experience in data manipulation, physical modeling, statistical modeling, and machine learning.
• Experience working with large datasets, performing statistical analysis, and using data visualization tools.
• Strong problem-solving skills and the ability to interpret and analyze complex datasets.

Preferred Qualifications

• PhD degree in Engineering, Chemistry, Materials Science, Data Science, Computer Science, ora related field.
• Experience in the simulation of battery materials, electrodes, and cells.
• Knowledge of electrochemical models and battery simulation tools (e.g., COMSOL, GT-AutoLion,PyBaMM, Simulink).
• Experience developing 3D battery models for coupled electrochemical-thermal-mechanical simulation.
• Experience in advanced battery data analysis, such asdQ/dVfitting and EIS modeling.

Peak Energy is committed to building a diverse and inclusive workforce. We strongly encourage women, people of color, and individuals from underrepresented groups to apply. We value skills, potential, and perspective over specific credentials. If you’re excited about this role but your experience doesn’t look perfect on paper, we still want to hear from you.

Our Core Values

• Speed Through Focus - Move fast but understand why. Focus on the goal,don'tsacrifice quality.
• Mission Over Self -It'sabout the greater good; confident humility. Take ownership and accountability.
• Face the Brutal Truth - Transparency, honesty, big picture curiosity. Fearless decision making.
• Be a Good Person - Kindness,collaborationand teamwork.

The salary range for this role is $140,000 - $175,000, with actual pay varying based on work location, experience, and skills. Our competitive benefits package includes:

• Flexible time off
• Comprehensive medical, dental, and vision coverage
• Strong 401(k) plan
• Equity opportunities

Join us to thrive in a supportive environment while making a meaningful impact in the energy sector!

At Peak Energy Technologies Inc., we believe that a diverse and inclusive workplace makes us a more capable, innovative, and competitive company. We welcome people who represent diversity in their backgrounds, ethnicities, cultures, and experiences. Peak Energy Technologies Inc. is an equal opportunity employer, aiming to reach our company’s full potential by cultivating an inclusive workforce. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status.