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Tier-1 brand, mid-level generalist role, metro location, and broad skillset increase competition.
Core skills (Python, SQL, Linux, data pipelines) transfer across industries, though semiconductor domain adds specificity.
Explicit years plus mandatory production automation, SQL, Linux, and AI-assisted engineering skills make screening stringent.
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Develop and maintain production-grade automation tools, data pipelines, and backend systems to improve silicon and system yield engineering workflows including design, DFT, diagnostics, and yield.
Implement reliable Linux-based automation services with logging, monitoring, error handling, and operational supportability under architectural guidance.
Use AI-assisted engineering practices responsibly to accelerate development, improve code quality, and integrate AI-enabled tools while maintaining human oversight for production safety and correctness.
Bachelor's degree in Computer Science, Electrical/Electronics Engineering, or related field with 4+ years hardware engineering or related work experience; Master's with 3+ years or PhD with 2+ years also acceptable.
Strong hands-on experience with Linux-based development, automation, shell scripting, and troubleshooting production systems.
Proficient in Python or comparable programming language for automation, backend systems, and data processing.
Strong SQL and relational database experience including schema design, query optimization, and database-backed application development.
Senior individual contributor comfortable owning complex automation development in semiconductor or related engineering environments with scalable, maintainable production systems.
Expertise operating across Linux, data engineering, database management, and automation layers with a production mindset for security, observability, and resilience.
Experienced in AI-assisted engineering with ability to integrate LLM-based coding tools while ensuring rigorous code review, correctness, and production readiness.