Battery Modeling Engineer II

Job Title: Battery Modeling Engineer

Location: Remote (within continental US)

Company Overview:

Iontra is a Denver, Colorado-based technology company revolutionizing the electrification movement by creating innovative charge-control solutions. We are reinventing the way batteries are charged to unlock their untapped performance. To us, batteries are more than just power sources. They’re the enablers of innovation and key to accelerating electrification adoption, and we’re proud to be leading the charge. Our third-party validated charge-control solution improves battery performance metrics, such as charge speed and cycle life, by 2x to 4x, no matter the size or complexity of the product.

Role Summary:

In this role, you’ll be tasked with performing essential duties as a part of both the Iontra research team and the product development team. You’ll play a key part in developing and advancing our battery modeling capabilities, contributing to the optimization of Iontra charging technology. You will work closely with cross-functional teams, including Analytics, DevOps and Machine Learning to push the boundaries of Iontra technology through advanced modeling techniques. This is a full-time role, which can be performed remotely, in our Centennial, CO office, or hybrid in a fast-paced startup environment.

Salary Range: $130k - $145k (salary is based on education, experience, skillset, and market value).

What You’ll Be Doing:

• Develop new battery models and maintain and enhance existing models

• Analyze and improve established models for lithium-ion and other battery technologies
• Integrate new data and physics into existing models
• Identify and address limitations in existing models through rigorous analysis
• Stay up to date on the latest advancements in battery modeling and electrochemical engineering

• Collaborate with diverse teams:

• Partner with the Analytics team on cell parameterization, leveraging their data expertise
• Work with the DevOps team to seamlessly implement battery simulations in the AWS cloud
• Work with Machine Learning team to support the development of physics-informed neural networks

You’ll Need These Qualifications:

• Master’s or Ph.D. in chemical engineering, material science, electrochemistry, physics, or similar field with 5 years of relevant experience in an industrial or academic setting
• Minimum 3 years of experience working in battery modeling and simulation
• Strong understanding of electrochemical principles, thermodynamics, and transport phenomena
• Proficiency in modeling tools such as PyBaMM, Python
• Proficiency in cell parameterization procedure for model development
• Excellent communication, collaboration, and problem-solving skills

Desired Qualifications:

• Familiarity with cloud computing platforms like ASW and DevOps practices
• Familiarity with developing and applying Machine Learning models in battery research
• Experience with battery pack and system-level modeling
• Proven ability to work independently and take ownership of projects
• Experience with Agile development methodologies
• Proficient in using GitHub for version control, code collaboration, and managing repositories

Benefits:

• Health Care Plan (Medical, Dental & Vision
• Life Insurance (Basic, Voluntary & AD&D)
• Short Term & Long-Term Disability
• Paid Time Off (Vacation, Sick & Holidays)
• 401(k) Retirement Plan plus company match
• Company Shares Plan

You’ll love this job if you:

• Are driven to be part of a team doing big things to help our planet
• Aspire to work with a successful veteran startup management team
• Are a self-starter and always find ways to get your work done and help team members
• Are an organized, detail-oriented person being very good at time management
• Are determined and resilient to keep things moving forward at a startup pace
• Are assertive and able to influence and partner with the team to get things done
• Enjoy new challenges and change

Iontra has an equal employment opportunity (EEO) policy that provides that no applicant or staff member will be discriminated against on the basis of gender, race, color, age, religion, marital status, pregnancy, veteran status, national origin, disability, or sexual orientation.