Forward Deployed Engineer, Battery Engineering
Builds and deploys AI-driven battery models for Fortune 100 engineering teams, combining domain expertise in electrochemistry with Python-based modeling and AI tools to accelerate product validation.
- Compensation
- Not disclosed
- Location
- US
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Solutions engineering
- Posted
Skills
Must have
- Battery engineering background. An MS, PhD or equivalent depth in battery science, electrochemistry, or a closely related field.
- Modeling fluency. Strength in at least one of physics-based modeling or data-driven methods (classical ML, Bayesian methods, Gaussian processes), with working knowledge of the other and a clear intuit
- AI-forward. You use AI coding tools as your primary workflow. You have thought carefully about where AI can accelerate battery testing and validation, and can give examples of how you are using AI to
Full description
About Ohm
Ohm is an enterprise AI platform that helps Fortune 100 engineering teams transform how they develop, test, and validate physical products.
Cursor and Claude Code reimagined how software products are developed. Our mission is to address the next frontier: bringing that same shift to how physical products are developed.
Every complex physical product - a battery cell, an electric vehicle, a wearable device - is developed through a process that generates enormous quantities of data, almost none of which is used to its potential. This is precisely the kind of problem modern AI is suited to solve.
We are recruiting exceptional scientists, engineers, and operators to join our mission to reimagine how products are engineered in the next decade.
Ohm is backed by Y Combinator and other world-class investors, as well as serial founders and builders.
The opportunity
Your role is to develop and ship the technical capabilities that will deliver the greatest measurable ROI for Ohm's customers. You bring the domain knowledge to identify what to build, the engineering capability to build it, and the commercial instinct to prioritize the changes that compound customer value fastest.
You will work directly with the founder, the Head of Engineering, and the battery engineering teams at Ohm's customer accounts. You will write code, deploy models, and own the scientific validity of production systems.
What you'll do
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Build and own battery models at the core of Ohm's platform - deployed in live customer pipelines where their output drives real engineering decisions.
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Work directly with customers to understand their hardest technical challenges and then develop platform capabilities that close the gap.
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Build the domain knowledge infrastructure that makes Ohm's agentic features scientifically credible at the level of the most technically demanding customers.
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Bring frontier battery validation workflows into the platform before customers ask, translated into production capabilities with measurable customer impact.
What you'll need
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Battery engineering background. An MS, PhD or equivalent depth in battery science, electrochemistry, or a closely related field.
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Modeling fluency. Strength in at least one of physics-based modeling or data-driven methods (classical ML, Bayesian methods, Gaussian processes), with working knowledge of the other and a clear intuition for which problems call for which. You are fluent in Python