Sila Nanotechnologies, Inc.

About the Company

We are Sila—a next generation battery materials company dedicated to accelerating energy transformation for a more sustainable future.

Our next-gen anode material is the first significant chemistry improvement to lithium-ion batteries to reach the market in 30 years. Our silicon anode material is a simple drop-in replacement to graphite and significantly boosts the energy density of lithium-ion batteries without compromising performance.

Today, Sila science powers innovative consumer electronics. Tomorrow, it will fuel our EV future and the electrification of everything.

We work directly with leading consumer electronics and automotive OEMs to help accelerate product roadmaps, and partners with battery manufacturers commercial cell production. Our partners include BMW, Daimler, and ATL.

Sila Nano’s first products significantly increase the energy density of state-of-the-art lithium-ion batteries. Our materials are manufacturable economically at scale and are drop-in replacements to existing battery manufacturing processes.

Listed Jobs

Company Name

Sila Nanotechnologies, Inc.

Job Title

Software Internship - AI & Battery Informatics

Job Description

Job Title: Software Internship – AI & Battery Informatics Role Summary: Assists battery‑R&D teams by developing high‑performance data pipelines, computer‑vision models, and autonomous AI agents that streamline experimental data analysis and support physics‑based and ML‑based battery performance models. Expectations: - Deliver production‑grade code and scalable data solutions within a short internship period. - Collaborate closely with battery engineers and data scientists to translate research needs into software features. - Demonstrate rapid problem‑solving, strong coding practices, and adaptability to evolving project priorities. Key Responsibilities: - Build and deploy AI agents for experimental data management, including querying, summarizing, and insight generation. - Develop automated pipelines for SEM and other characterization workflows, extracting particle morphology, sizing, and defect information. - Design high‑throughput data architectures capable of processing large battery cycling and modeling datasets (out‑of‑memory processing). - Create backend services (FastAPI, Docker, K8s) and internal dashboards (Hex, React) to expose AI insights to broader teams. - Support physics‑based and ML‑model (transformers, GNNs) development by preparing and validating data inputs. - Contribute to CI/CD pipelines and maintain code quality and documentation. Required Skills: - Mastery of Python scientific libraries (NumPy, SciPy, Pandas). - Expertise with high‑performance data frameworks (Polars, Vaex, or Dask). - Experience building agentic workflows (LangGraph, CrewAI) and using cloud‑native AI services (e.g., Snowflake Cortex). - Proficiency in OpenCV or deep‑learning segmentation (SAM) for material imaging. - Comfortable with containerization (Docker), Kubernetes, and CI/CD pipelines. - Familiarity with AI coding assistants (Claude Code, Copilot) and Git collaboration. - Basic understanding of Li‑ion battery chemistry, materials processing, and electrochemical testing. Required Education & Certifications: - BSc (or MSc) in Computer Science, Materials Science, or related field; or currently enrolled in a Ph.D. program. ---

Alameda, United states

On site

18-02-2026

Company Name

Sila Nanotechnologies, Inc.

Job Title

Battery Simulation & Computational Scientist Internship

Job Description

Job Title: Battery Simulation & Computational Scientist Internship Role Summary: Create and implement physics-based battery models using PyBaMM to bridge theoretical electrochemistry and production-grade software, accelerating R&D efficiency and battery innovation. Expectations: Commit to a 6+ month remote or onsite internship. Key Responsibilities: - Build, parameterize, and validate electrochemical battery models using PyBaMM. - Fit models to experimental data across electrochemical test methods. - Develop backend pipelines/tools to disseminate physics-based models. - Collaborate with cross-functional teams to translate model insights into material advancements. - Contribute to infrastructure for model deployment. Required Skills: - Proficiency in PyBaMM and Python (NumPy, SciPy, Pandas). - Experience with SQL/Snowflake and Git (GitHub/GitLab). - Knowledge of Linux/macOS command line and CI/CD pipelines. - Expertise in electrochemical theory, P2D/Doyle-Fuller-Newman models. - Familiarity with AI coding tools (e.g., Copilot) and Docker. Required Education & Certifications: - Bachelor’s degree (or preferably a Master’s/PhD) in Computer Science, Applied Mathematics, Chemical Engineering, Materials Science, or related field. - Public contributions to PyBaMM repositories.

Alameda, United states

Remote

26-02-2026