Senior Battery Modeling Engineer

As a Battery Modeling Engineer on the Surface Battery Development Team, you will lead the development and application of physics-based and data-driven battery modeling/simulation capabilities to enable simulation-driven design decisions, support BMS algorithm development, and inform empirical testing. This role combines advanced battery modeling expertise with strong data science skills to support the development, optimization, and analysis of battery systems. You will design and implement physics-based and data-driven models for lithium-ion and next-generation batteries, while also supporting data pipelines and tools to manage large-scale experimental and operational datasets.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. 

Required Qualifications:

• Doctorate in Chemistry (Electrical), Materials Science, Mechanical Engineering, Electrical Engineering, and Chemical Engineering AND 1+ year(s) experience working with batteries manufactured overseas, testing characterization screenings, lithium-ion battery component development or implementation, running battery tests, and product design (e.g., consumer electronics)
  • OR Master's Degree in Chemistry (Electrical), Materials Science, Mechanical Engineering, Electrical Engineering, and Chemical Engineering AND 5+ years experience working with batteries manufactured overseas, testing characterization screenings, lithium-ion battery component development or implementation, running battery tests, and product design (e.g., consumer electronics)
  • OR Bachelor's Degree in Chemistry (Electrical), Materials Science, Mechanical Engineering, Electrical Engineering, and Chemical Engineering AND 7+ years experience working with batteries manufactured overseas, testing characterization screenings, lithium-ion battery component development or implementation, running battery tests, and product design (e.g., consumer electronics)
  • OR equivalent experience.
• Experience working with and developing li-ion battery physics-based (SPM, P2D, etc.) and/or data-driven models.
  
• Ability to automate analysis of large data sets and output presentations using Python and other appropriate tools.
  
• Deep curiosity for machine learning and AI to accelerate understanding of battery behavior.

Preferred Qualifications:

• A minimum of 5 years of Battery Modeling and Battery Analytics domain experience.
• 5+ years of experience in battery modeling and analytics with a strong background in electrochemistry and thermal dynamics.
• Advanced degree (Master's/Ph.D.) in Materials Science, Electrical Engineering, Chemical Engineering, Computer Science, or equivalent professional expertise.
  
• Proficient in both physics-based (ECM, SPM, P2D) and data-driven/machine learning battery models, with tools such as PyBamm, COMSOL, GT Suite, Simulink, and 3D FEA simulation for batteries.
  
• Skilled in modeling from cell-level to pack-level, including thermal and aging analysis, building scalable data pipelines, and utilizing data engineering tools (Microsoft Fabric, Data Factory, Synapse, PowerBI) on Azure.
  
• Intermediate proficiency in Python for scripting, automation, and data manipulation.
  
• Collaborative team player experienced in cross-functional work and technical debates, contributing insights to improve battery design and manufacturing.
  
• Knowledgeable about emerging battery technologies for consumer electronics and high-volume product supply chains, including working with overseas suppliers.
  
• Excellent written and verbal communication skills and a passion for leveraging data in battery design.
  
• Willing to relocate to Redmond, WA or CA offices.

Battery Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until October 13, 2025.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#W+DJOBS

#Battery

#Battery Development

#Battery Modeling

#Li-ion Battery Modeling

#Battery Engineering

#Battery Data Science

• Develop physics-based (SPM, P2D, etc.) and/or data-driven battery models using internal data and collaboration with external partners.
• Develop and translate aging modes/mechanisms into new and existing models.
• Create and oversee testing/DoEs to parameterize models and validate model performance.
• Apply developed models to improve engineering processes, workflows, and designs - supporting cross-team usage.
• Define future simulation/modeling capabilities and strategy.
• Technical lead, expert, and point of contact on battery simulation/modeling capabilities and solutions.
• Defining and guiding next generation battery data analytics.