Celestial AI

About the Company

AI is touching our lives and driving breakthroughs in healthcare, finance, autonomous systems, and countless other domains. Its ability to process vast data, derive insights, and automate complex tasks unlocks new levels of efficiency and innovation. However, the exponential growth of AI workloads demands greater computational power and more efficient data movement. Traditional electronic interconnects are struggling to keep up, necessitating a paradigm shift in AI infrastructure. The answer is like night and day. Celestial AI's Photonic Fabric is a revolutionary technology that scales AI compute within package and package-to-package across multiple racks. It forms the foundation for an optical scale-up network, overcoming the physical limitations of electronic interconnects. Offering terabytes of low-latency bandwidth, in-network computing, and high-performance memory, Photonic Fabric heralds a new dawn in AI infrastructure. Switching to optical interconnects enables larger multi-die packages and bigger scale-up domains, creating a leap into the next decade. Photonic Fabric-based products transform AI data centers, scaling thousands of XPUs across racks, enabling larger models, better reasoning, and more efficient inference. By reducing total cost of ownership, this innovation unlocks new use cases and more profitable GenAI business models. With an aggressive roadmap, a robust ecosystem of partners, and a tier-one supply chain, Celestial AI isn't just reimagining AI data centers, it's delivering an AI-driven, sustainable future. At its core, AI isn't just about algorithms or hardware, it's about people. Unlocking creativity, solving humanity's biggest challenges, and making the impossible possible. The future of AI is here. Intelligence, illuminated.

Listed Jobs

Company Name

Celestial AI

Job Title

Reliability Engineering Intern - Database Development

Job Description

**Job Title:** Reliability Engineering Intern – Database Development **Role Summary:** Support the Quality & Reliability team by designing, implementing, and maintaining a centralized database for semiconductor reliability data. Build automated data ingestion pipelines, create visual analytics tools, and ensure data integrity to provide actionable insights for reliability testing and failure analysis projects. **Expectations:** - Deliver a functional relational database and associated ETL processes within the internship period. - Collaborate closely with reliability, test, and product engineering teams to capture and model data requirements. - Produce dashboards, reports, and documentation that enable cross‑functional stakeholders to track yield, failure rates, and burn‑in outcomes. - Demonstrate strong ownership of data quality, version control, and secure access while working independently and in a fast‑paced environment. **Key Responsibilities:** 1. Design database schema for wafer‑level results, test metrics, failure analysis reports, and component tracking. 2. Develop ETL scripts or APIs to ingest data from lab equipment, test systems, and spreadsheets (STDF, CSV, JSON). 3. Build automated workflows to validate, transform, and load data into the database. 4. Create visualizations and dashboards (Power BI, Tableau, or Python libraries) for trend analysis and reporting. 5. Ensure data integrity, implement version control, and enforce secure user access. 6. Document database structure, data flow diagrams, and operational guidelines. 7. Provide data insights and analytic support for ongoing reliability projects. **Required Skills:** - Proficiency in SQL and Python (or equivalent) for database design and automation. - Experience with data visualization tools (Power BI, Tableau, Plotly, Seaborn). - Familiarity with semiconductor reliability testing concepts (HTOL, HAST, ESD, TDDB, electromigration) is a strong plus. - Understanding of semiconductor test data formats (STDF, CSV, JSON). - Strong analytical, organizational, and written/verbal communication skills. - Ability to work independently and collaboratively in a dynamic setting. **Required Education & Certifications:** - Current enrollment in a Bachelor’s or Master’s program in Electrical Engineering, Computer Science, Data Science, or a related discipline. - No specific certifications required. ---

Santa clara, United states

On site

Fresher

21-10-2025