Silicon & Data Automation Systems Software Engineer, Staff
Technology, Data & Digital · Software & Web Development · Software Engineering · Data Engineering
In short
Qualcomm is seeking a Staff Engineer for Silicon & Data Automation Systems in Bangalore, India, to develop production-grade automation, data pipelines, and tools for semiconductor engineering. This senior individual contributor role emphasizes an AI-first engineering mindset, leveraging LLM-based tools to enhance development velocity and quality within complex semiconductor workflows.
Responsibilities
- Design, develop, test, and maintain automation tools for silicon and system yield engineering workflows.
- Build reliable Linux-based automation services, scripts, data loaders, and backend systems.
- Develop production-grade solutions with logging, monitoring, error handling, and documentation.
- Build and maintain data pipelines for collecting, transforming, and loading engineering and manufacturing data.
- Work with relational databases, SQL, and schema design for automation workflows.
- Use LLM-based coding agents and AI-assisted automation tools to improve productivity and quality.
- Build backend tools, dashboards, web applications, APIs, and command-line utilities.
- Integrate automation into existing engineering workflows without disrupting production.
- Collaborate with engineers across design, DFT, validation, diagnostics, and data domains.
- Communicate technical findings clearly to diverse audiences.
- Participate in code reviews, design discussions, and production readiness reviews.
- Collaborate effectively across time zones, including overlap with U.S. Central Time morning hours.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Engineering, Software Engineering, or related field, or equivalent practical experience.
- Strong hands-on experience with Linux-based development and automation, including shell scripting, server-side troubleshooting, cron jobs, file systems, and permissions.
- Strong programming skills in Python or a comparable language for automation, data processing, backend systems, or engineering tools.
- Strong experience with SQL, relational databases, data modeling, query development, and database-backed applications.
- Experience building automation that processes, validates, transforms, or integrates large technical datasets.
- Experience developing production-quality software or automation with testing, logging, error handling, documentation, and maintainability.
- Experience using Git or similar version control systems in a collaborative environment.
- Practical experience using LLM-based coding agents or AI-assisted development tools to improve productivity.
- Ability to review AI-generated work critically and maintain ownership of correctness, security, reliability, and production readiness.
- Strong debugging and problem-solving skills across software, data, database, and Linux environments.
- Excellent written and verbal communication skills in English.
- Ability to work effectively with U.S.-based stakeholders with required time overlap.
Desired Qualifications
- Experience with semiconductor design, DFT, validation, diagnostics, yield, or product engineering environments.
- Experience working with engineering datasets such as test data, DFT outputs, manufacturing data, diagnostic data, or high-volume silicon or system telemetry.
- Familiarity with semiconductor data formats such as STDF, KLARF, wafer maps, lot history, test results, binning, dispositions, or assembly data.
- Experience building automation for engineering teams in semiconductor, manufacturing, hardware, or similar domains.
- Experience with Oracle, PL/SQL, ODBC, database loaders, schema design, or production database integration.
- Experience with Django or similar backend frameworks.
- Experience with REST APIs, internal tools, dashboards, reporting systems, or workflow applications.
- Experience with log analytics, monitoring, Splunk, or observability tools.
- Experience with batch compute, distributed jobs, LSF or grid environments, or multi-server automation.
- Experience building or integrating AI-assisted tools, internal agents, MCP servers, or RAG workflows.
- Familiarity with responsible AI-assisted development practices, including human-in-the-loop review and secure handling of generated outputs.
- Experience working across global teams and time zones.
Benefits
- Qualcomm is an equal opportunity employer.
- Qualcomm is committed to providing an accessible process for individuals with disabilities.
- Qualcomm is committed to making our workplace accessible for individuals with disabilities.
- The company expects its employees to abide by all applicable policies and procedures, including security and confidentiality.
Skills
PythonLinuxSQLDjangoREST APIGitShell Scripting
#automation#silicon#data#systems#software engineering#yield engineering#semiconductor#AI#LLM#Linux#Python#SQL#database
About Qualcomm
Enabling a world where everyone and everything can be intelligently connected.
Enabling a world where everyone and everything can be intelligently connected.\n\n
Company
QualcommJob Posted
3 weeks ago
Employment Type
Full Time
Work mode
On Site
Experience Level
Senior
Locations
Bangalore, India
Qualification
Bachelor, Master, Doctoral
Applicants
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