Battery Modeling Team Lead
Employer undisclosedRole managed by a recruiter
Lead a team of battery scientists, develop AI-driven models and drive battery R&D.
13 days ago ago
Expert & Leadership (13+ years), Intermediate (4-7 years), Experienced (8-12 years)
Full Time
Canada
Remote
Your recruiting firm
- Founded in 2015 and headquartered in London, Piper Maddox has grown into a global clean-energy recruitment specialist.
- Born to serve the renewable transition, it places professionals in solar, wind, storage, hydrogen, and e-mobility projects.
- Their footprint spans major clean-tech hubs: UK, Benelux, Nordics, DACH, North America, and now expanding in Miami.
- They maintain niche divisions—solar, storage, hydrogen—each led by dedicated specialists, delivering deep domain hiring.
Role
Description
battery testing
process optimization
team leadership
cell integration
simulation tools
model development
As part of this next phase of their growth, they're adding a player/coach Battery Modeling Team Lead who will manage a team of 3 Battery Scientists & Developers, and drive forward battery science projects for the organization
- Conduct rigorous testing on battery systems including performance, safety, and lifecycle assessments.
- Oversee the development and optimization of processes to improve efficiency, including responsible use of AI and productivity tools.
- Manage and lead a team of 3 Battery Scientists and Battery Developers.
- Support the integration of cells into larger systems to ensure optimized storage, power delivery, and efficiency.
- Provide strategic direction for long-term planning and growth of the battery science function, including identifying new R&D opportunities.
- Utilize and enhance simulation tools to predict battery life, efficiency, and performance for multiple chemistries (Li-Ion, Li Metal, Sodium, Lead Acid, etc.).
- Develop and validate models simulating battery performance under varying conditions (e.g., charge/discharge cycles, temperature, degradation).
Requirements
phd
battery estimation
doe
systems engineering
ml/ai
managerial
- Bachelors, Master’s degree or PhD in Chemistry, Materials Science, Electrical Engineering, or equivalent.
- Strong knowledge of battery estimation techniques (SOC, SOH, SOP, SOT).
- Min 5 years experience in battery engineering space
- Deep technical expertise in battery technologies, materials, and testing methods, with proficiency in Design of Experiments (DOE).
- Familiarity with systems engineering for applications in energy storage, eMobility, and robotics..
- Strong exposure to ML and AI in the battery space
- Strong experience in a player/coach role
- Min 2 years experience in a managerial role in the battery space
Benefits
*Visa sponsorships/transfers cannot be provided for this role.
Salary: competitive + 15% bonus + equity
- Chance to join rapidly scaling battery management software startup in a managerial role
- Opportunity to wear multiple hats and career growth opportunities
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
- visa sponsorships/transfers are not available for this role.
Security clearance
Information not given or found
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About the client
About the client
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