1 day ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, develop, test, and maintain production automation tools for silicon and system yield engineering workflows.
- Build Linux-based automation services, scripts, data loaders, backend systems, dashboards, web applications, APIs, command-line utilities, and scheduled jobs.
- Build and maintain data pipelines that collect, transform, validate, and load engineering and manufacturing data.
- Develop relational database schemas, SQL queries, database-backed applications, and data integration workflows.
- Provide logging, monitoring, error handling, alerting, documentation, troubleshooting, and operational support for production systems.
- Use LLM-based coding agents and AI-assisted development tools to improve code quality, testing, troubleshooting, documentation, and engineering productivity.
- Integrate or build AI-enabled engineering tools, automation agents, internal assistants, MCP servers, and workflow accelerators where appropriate.
- Collaborate with design, DFT, validation, diagnostics, yield, data, and semiconductor engineering stakeholders to automate manual workflows.
- Participate in code reviews, design discussions, troubleshooting sessions, and production readiness reviews.
- Communicate technical findings, implementation options, risks, and tradeoffs across software and semiconductor engineering teams.
Requirements
- Bachelor's degree with 4+ years, master's degree with 3+ years, or PhD with 2+ years of Hardware Engineering or related work experience.
- Bachelor's or master's degree in Computer Science, Electrical Engineering, Data Engineering, Software Engineering, or a related field, or equivalent practical experience.
- Strong hands-on Linux development and automation experience, including shell scripting, server troubleshooting, scheduled jobs, file systems, permissions, and operational debugging.
- Strong Python or comparable programming experience for automation, data processing, backend systems, or engineering tools.
- Strong experience with SQL, relational databases, data modeling, query development, and database-backed applications.
- Experience processing, validating, transforming, or integrating large technical datasets.
- Experience developing production-quality software or automation with testing, logging, error handling, documentation, and maintainability.
- Experience using Git or a similar version control system in a collaborative environment.
- Practical experience with LLM-based coding agents or AI-assisted development tools and the ability to critically review generated work.
- Strong debugging, problem-solving, written communication, verbal communication, and English-language skills.
- Preferred qualifications include semiconductor design, DFT, validation, diagnostics, yield, product engineering, manufacturing, or high-volume engineering data experience.
- Preferred experience includes Oracle, PL/SQL, ODBC, Django, REST APIs, dashboards, reporting systems, Splunk, observability tools, batch compute, distributed jobs, LSF, AI-assisted tools, internal agents, MCP servers, and RAG workflows.
Benefits
- The role is based in the Bangalore Design Center and requires regular overlap with U.S. Central Time morning hours.
- Qualcomm is an equal opportunity employer and provides reasonable disability accommodations during the hiring process.
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.