Silicon & Data Automation Systems Software Engineer, Staff

Develop and maintain production-grade automation tools, data pipelines, and database-backed applications to enhance semiconductor yield engineering workflows including design, DFT, diagnostics, and yield analysis.

Implement AI-assisted engineering practices using LLM-based coding agents to accelerate development while ensuring security, correctness, and production safety.

Collaborate across global teams to deliver scalable, maintainable, and robust automation systems supporting silicon and system yield engineering operations.

Bachelor's degree in Computer Science, Electrical/Electronics Engineering, or related field with 4+ years hardware engineering or related experience; Master’s with 3+ years or PhD with 2+ years also acceptable.

Strong hands-on Linux development and automation skills including scripting, server troubleshooting, and scheduled jobs.

Proficient in Python or comparable languages, SQL, relational databases, and building production-quality automation software with logging, error handling, and maintainability.

Experience with AI-assisted development tools, strong debugging skills in software/data/database/Linux environments, and ability to work overlapping US Central Time mornings.

Experienced senior individual contributor capable of translating complex semiconductor engineering requirements into reliable automation solutions across multiple engineering domains (design, DFT, validation, diagnostics, yield).

Strong operational mindset focused on building maintainable, fault-tolerant, scalable systems with robust observability and security for long-running production use.

Proficient in applying AI-first engineering methodologies responsibly to improve output while maintaining ownership and in working collaboratively across global, cross-functional teams including US stakeholders.