Semiconductor Engineer (San Francisco)

Key Responsibilities

• Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
• Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks.
• Collaborate with data scientists to translate models into production-ready code.
• Implement CI / CD pipelines and manage code repositories using GitHub Enterprise.
• Design and optimize mathematical programming and machine learning models for real-world applications.
• Work independently to break down complex problems into actionable development tasks.
• Ensure code quality, scalability, and maintainability in a production environment.
• Contribute to sprint planning, documentation, and cross-functional collaboration.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.
• Stay connected with external sources of ideas through conferences and community engagements

Requirements