Staff Engineer, Silicon & Data Automation Systems

Job Title

Staff Engineer, Silicon & Data Automation Systems

Role Summary

Senior individual contributor responsible for designing and delivering production-grade automation, data pipelines, database-backed applications, and engineering tools to support silicon and system yield workflows (design, DFT, validation, diagnostics, and yield).

Works on a Bangalore-based automation team with regular overlap with U.S. Central Time stakeholders; focuses on scalable, observable, and secure production systems and pragmatic AI-assisted engineering practices.

Experience Level

Senior - senior individual contributor role. Typical expectation: experienced engineer with several years of hands-on automation, data, and production software experience.

Responsibilities

Deliver and maintain automation and data systems that accelerate semiconductor engineering workflows.

• Design, build, test, and operate Linux-based automation services, scripts, scheduled jobs, and backend systems for engineering workflows.
• Develop data pipelines to collect, transform, validate, and load engineering and manufacturing data; ensure data quality and traceability.
• Implement production-grade features: logging, monitoring, error handling, alerting, documentation, and operational supportability.
• Integrate automation with databases and engineering systems; optimize schemas and queries for performance.
• Use and integrate AI-assisted development tools responsibly to improve productivity while retaining human review and ownership.
• Build APIs, dashboards, web backends, CLIs, and other tools to make complex data accessible and actionable.
• Collaborate across design, DFT, validation, diagnostics, and yield teams; participate in code reviews and production readiness activities.

Requirements

Must-have technical skills and experience for immediate contribution.

• Strong hands-on experience with Linux-based development and operational debugging (shell scripting, cron/scheduled jobs, file systems, permissions).
• Proficient programming skills in Python or comparable languages used for automation and backend systems.
• Strong SQL and relational database experience: data modeling, schema design, query development, and performance tuning.
• Experience building production-quality automation and software with testing, logging, error handling, and maintainability.
• Practical experience building data pipelines that process, validate, transform, and integrate large technical datasets.
• Experience using Git or similar version control in collaborative environments.
• Practical familiarity with LLM-based coding agents or AI-assisted development tools and ability to critically review AI outputs.
• Strong debugging and problem-solving skills across software, data, database, and Linux environments; good English communication skills.
• Able to collaborate across time zones with required overlap with U.S. Central Time.

Nice-to-have:

• Semiconductor domain experience (design, DFT, validation, diagnostics, yield) and familiarity with formats such as STDF, KLARF, wafer maps.
• Experience with Oracle/PL/SQL, database loaders, Django or similar frameworks, REST APIs, observability tools (Splunk), batch/distributed compute systems (LSF/grid).
• Experience building or integrating AI-enabled engineering tools, internal agents, MCP servers, or RAG workflows.

Education Requirements

Bachelor's, Master's, or PhD in Computer Science, Electrical/Electronics Engineering, Software/Data Engineering, or a related technical field is listed in the source as common qualifications; equivalent practical experience is explicitly accepted.

About the Company

Company: Qualcomm

Headquarters: San Diego, California, United States

Qualcomm is a global leader in semiconductor and telecommunications equipment, specializing in mobile technologies and innovations. Known for its Adreno GPUs, the company provides solutions enabling advancements in mobile gaming, AI, VR/AR, and autonomous driving. Qualcomm's cutting-edge technology and commitment to high-performance, power-efficient designs drive the evolution of mobile graphics and connectivity worldwide.