Hiring: Software Engineer - Manufacturing Data Platform & Automation Company: Lyte Location: Sunnyvale, CA Job Posted Time: 2026-09-11 10:43:13 Employment Type: Contract Target Skills & Keywords : AWS, Airflow, Angular, Azure, CI/CD, Dagster, Data Pipeline, Django, Docker, ETL, FastAPI, Flask, GCP, Git, Grafana, JavaScript, Microsoft Excel, Node.js, Plotly, Prefect, Python, REST, React, SQL, TypeScript, Vue About the job Experience: •2+ years building web applications end to end: a modern front-end framework (React, Vue, or Angular) backed by a REST API (Node.js, Flask, FastAPI, or Django). This is the core of the role. Required Skills: •Develop a web application (front end plus REST API) that lets users search, filter, and pull data across device, optical engine, component, and system-level databases. •Implement authentication, role-based access control, and tiered data visibility so that cost, supplier, and yield data is seen only by those authorized to see it. •Act as the platform administrator — manage users and permissions, monitor uptime, handle backups and data retention, and maintain documentation. •Build and maintain automated pipelines that ingest test, process, and yield data from in-house stations and from external OSAT, CM, and FATP partners into a central store. •Handle the realities of manufacturing data: file-based drops (CSV, log, Excel), inconsistent formats between suppliers, late or duplicate data, schema drift, and unreliable cross-site network links. •Design a data model supporting unit-level traceability — serial number, lot, station, timestamp, test limits, and revision — so any unit can be traced end to end. •Add validation and monitoring so missing, stale, or out-of-spec data is flagged automatically rather than discovered weeks later. •Build auto-grading and binning of components against engineering-defined criteria from test data. Qualifications: •Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent hands-on project experience. •Strong Python, plus JavaScript or TypeScript, with demonstrated experience writing automation scripts, data-processing jobs, and data-visualization code. •Solid SQL and relational data modeling — designing schemas, writing non-trivial queries, and integrating data from multiple source systems. •Practical understanding of authentication, role-based access control, and web application security, sufficient to administer a multi-user internal tool holding confidential cost and supplier data. •Strong written and verbal communication. You will gather requirements directly from engineers and operations staff across multiple sites and time zones and translate them into working software. •Self-directed and comfortable owning a system end to end with minimal supervision, with high attention to detail and sound judgment handling confidential company, supplier, and cost data. •Exposure to semiconductor, photonics/optics, or electro-mechanical manufacturing, and familiarity with terms such as BOM, ECO, wafer test, OSAT, FATP, and yield. •ETL and workflow orchestration experience (Airflow, Prefect, Dagster, or equivalent) and scheduled job design. •Statistical process control fundamentals (Cp, Cpk, control charts) and experience with JMP, Minitab, or Python statistics libraries. •Dashboarding and reporting tools (Power BI, Tableau, Plotly/Dash, Grafana, Metabase) and automated report or email generation. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!