Job Description
A software intern role focused on developing AI-driven data systems, computer vision pipelines, and autonomous workflows to support battery research and development at a next-generation battery materials company.
Key Responsibilities
- Build and deploy autonomous AI agents to automate experimental management and analyze complex datasets
- Develop automated pipelines for characterization techniques such as SEM to extract features like particle morphology and detect defects
- Support data orchestration and validation for physics-based and machine learning models predicting battery performance
- Design and optimize data pipelines for handling large, high-frequency battery datasets using advanced frameworks
- Support development of backend pipelines, APIs, and dashboards to deliver AI-driven insights
Requirements
- Currently enrolled in a MSc or Ph.D. program in Computer Science, Materials Science, or a related field.
- Mastery of Python scientific libraries such as NumPy, SciPy, and Pandas.
- Expert-level experience with high-performance frameworks like Polars, Vaex, or Dask for handling massive datasets.
- Experience building agentic workflows using tools such as LangGraph, CrewAI, and utilizing cloud-native AI functions like Snowflake Cortex.
- Proficiency in OpenCV or deep learning-based image segmentation techniques such as SAM for material characterization.
- Strong proficiency in building production-ready code, including experience with Kubernetes (K8s), Docker, and CI/CD pipelines.
- Basic understanding of Li-ion battery chemistry, materials processing, and electrochemical testing.
- Proficiency in using AI coding tools such as Claude Code, Copilot, and Git-based collaboration tools.
Benefits & Perks
Compensation/salary range: $25/hr to $39/hr, depending on education, experience, and skills
Work schedule: On-site role with potential eligibility for overtime
Work environment perks: On-site in Alameda HQ, operate a computer and office equipment, move long distances, and be stationary for extended periods
Additional benefits: Competitive Total Rewards package including benefits, perks, and equity
Ready to Apply?
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