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Forward Deployed Engineer, Battery Engineering

Ohm· Engineering
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Hybrid (San Francisco, CA)Full-timePosted 2mo ago

About the role

Ohm is an enterprise AI platform helping Fortune 100 engineering teams accelerate hardware development, testing, and validation. The role focuses on developing battery-model capabilities and deploying them in production to deliver measurable ROI for customers.

Responsibilities

  • Build and own battery models at the core of Ohm's platform - deployed in live customer pipelines where their output drives real engineering decisions.
  • Work directly with customers to understand their hardest technical challenges and then develop platform capabilities that close the gap.
  • Build the domain knowledge infrastructure that makes Ohm's agentic features scientifically credible at the level of the most technically demanding customers.
  • Bring frontier battery validation workflows into the platform before customers ask, translated into production capabilities with measurable customer impact.

Qualifications

  • 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 intuition for which problems call for which. You are fluent in Python
  • 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 do so.

Skills

Required:Battery science / electrochemistryPhysics-based modelingData-driven modelingPython
Last updated Oct 7, 2026. Interested? Apply on the company site.
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