Machine Learning Engineer

Role & responsibilities

• Design, develop, and maintain software products and platform for semiconductor design automation supporting design, tapeout and post-tapeout workflows
• Develop software / AI solutions to improve productivity, quality, reliability and design reuse.
• Integrate commercial EDA tools via API/CLI into Skyworks design flows
• Collaborate with engineering teams to define automation requirements.
• Debug design flow issues and improve tool reliability and scalability.
• Define and develop good software development practices
• Support semiconductor tapeout schedules and continuous improvement initiatives
• Use AI/ML to optimize process, built more predictability, reliability across the process flows.

Preferred candidate profile

• Bachelors or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field
• 3-5 years of relevant solid industry Full-stack software development experience
• Stong experience with software tech-stack - UI (React.js, QT). Backend (Python, C++, Java),  Databases (Azure SQL, Databricks)
• Experience with workflow automation
• Experience using Machine learning models to solve complex challenges.
• Experience developing custom AI agents, MCP servers
• Experience leading DevOps (github, jenkins)
• Experience hositng application on web server
• Confortable working with both Linux and Windows environment
• Experience with version control systems such as Git and/or Perforce/CI/CD

Software Engineering & Operations

• Ability to host, operate, and scale webbased software tools in Unix/Linux environments
• Experience setting up and maintaining Apache (or similar) web servers in onpremises environments
• Working knowledge building software product which are secure by design

Cloud & Modern Tooling

• Experience or familiarity with at least one cloud platform (AWS, GCP, or Azure)
• Experience using AIassisted development tools (e.g., Claude Code, OpenAI Codex, or similar) to improve productivity and automation