Software Application Developer, Data Systems

Sila•Alameda, CA

12h•Onsite

About The Position

We are Sila, a next-generation battery materials company. Our mission is to power the world’s transition to clean energy. To create this future, our team is building a better lithium-ion battery from the inside out today. We engineer and manufacture ground-breaking battery materials that significantly increase the energy density of batteries, while reducing their size and weight. The result? Smaller more powerful batteries that can unlock innovation in consumer devices and accelerate the mass adoption of electric cars to eliminate our dependence on fossil fuels. We're tackling one of the biggest challenges of our time every day, and together we're redefining what's possible. Are you ready to be a part of a team committed to changing the world? You are a product-minded, forward-deployed, software application developer who bridges the gap between sophisticated data modeling and world-class user experiences. You believe that back-end data is only as valuable as the interface that makes it actionable. You are as comfortable architecting a high-performance Snowflake schema as you are crafting an intuitive React component. You thrive on being embedded with your users, translating the complex needs of battery engineers and operations into elegant software that serves as a "single source of truth."

Requirements

Expert proficiency in React, TypeScript, and modern CSS-in-JS or Tailwind. Experience with data visualization libraries (e.g. Plotly, or Bokeh) is highly preferred.
Expert proficiency in Python (FastAPI, Flask)
Advanced experience with Snowflake and dbt. You should be able to demonstrate how you design schemas—including graph-based relationships—to solve specific application and user-workflow problems.
You should have a clear philosophy on how to make complex data-entry and data-analysis workflows intuitive.
Experience with Airflow or similar tools to manage application-specific data transformations.
Hands-on experience with Infrastructure as Code (Terraform), CI/CD and container orchestration (Kubernetes).
Practical experience building RAG architectures and integrating LLMs into production application workflows.
Experience deploying native iOS applications for internal business purposes
B.S. or M.S. in Computer Science, Human-Computer Interaction, or a related engineering field.
6+ years for MS, 8+ years for BS of professional software development experience, preferably in hardware product technology and/or manufacturing environments
A proven track record of building complex internal tools for Operations, Engineering, Battery Teams, Finance, or Supply Chain teams that emphasize user-centric design and high data density.
Strong bias for action and the ability to work autonomously in a fast-paced, multidisciplinary environment.

Nice To Haves

Experience with data visualization libraries (e.g. Plotly, or Bokeh) is highly preferred.

Responsibilities

Work directly with Engineering, Operations, Battery Teams, Finance, and Supply Chain teams to identify bottlenecks and build bespoke software solutions that accelerate our "bits-to-atoms" cycle.
Design and implement sophisticated, responsive user interfaces using React and modern state management libraries. Focus on creating high-density data visualizations that make complex battery performance data easy to interpret.
Design and evolve Snowflake schemas and data models specifically optimized for high-performance application interfaces. You will ensure the data layer supports both rapid transactional workflows and deep analytical exploration.
Utilize dbt and Airflow as your toolkit to clean, transform, and move data into your application-ready schemas, ensuring end-to-end data integrity.
Use Datadog, Sumo Logic, and StatsD to monitor user interaction patterns and application health, ensuring high availability for business-critical workflows.
Deploy Retrieval-Augmented Generation (RAG) patterns to build "smart" tools that allow our engineering teams to query technical specs, experimental results, and financial data using natural language.