Software Technical Lead Engineer

Software Engineer

In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.

As a Software Engineer at Lam, you will be at the forefront of innovation by designing, developing, and troubleshooting and debugging software programs. Your role is pivotal in developing software tools that support design, infrastructure, and technology platforms. Your expertise will determine hardware compatibility and influence design, ensuring seamless integration between software and hardware.

In this role, you'll make an impact across Lam's entire product portfolio of equipment working within our centralized software engineering team, collaborating with some of the brightest minds in the industry.

What You'll Do

• Design, develop, and maintain automated test scripts using PyTest with structured Allure reporting
• Leverage GitHub Copilot to write and execute Python-based test automation for software validation across functional, regression, and sanity test cycles.
• Apply prompt engineering techniques to interact with AI/LLM tools for test case generation, failure analysis, and QA reporting.
• Contribute to AI agent design build or integrate agents that automate repetitive QA workflows (e.g., PR analysis, release note generation, test coverage mapping).
• Leverage GitHub Copilot within VS Code to accelerate test authoring, code review, and documentation generation.
• Explore and implement MCP (Model Context Protocol) -based integrations to connect AI agents with internal tools, simulators, and test infrastructure.
• Collaborate with development and QA leads to improve test coverage, traceability, and evidence quality across releases.

Who We're Looking For

Eligibility Criteria

• Bachelor's degree in engineering preferably Computer Sc / Electronics / Information Technology
• Years of Experience 3-7 years

Mandatory Skills

• Python Basics Comfortable writing functions, classes, and scripts for test automation.
• PyTest + Allure Experience writing structured test cases with fixtures, markers, and generating Allure evidence reports.
• VS Code + GitHub Copilot Proficient in AI-assisted development workflows; knows how to review, refine, and validate Copilot suggestions.
• Prompt Engineering Ability to craft effective prompts for code generation, test case creation, and QA analysis using LLMs (ChatGPT, Copilot, etc.).
• Agent Design & MCP Basics Familiarity with AI agent concepts; exposure to MCP tools or willingness to learn how agents interact with external systems via protocols.

Preferred Qualifications

Desired Skills

• Experience with Allure test evidence packs (step-by-step logs, event context, screenshots).
• Exposure to Jira / Bitbucket for test management and traceability.
• Understanding of Git workflows (branching, PRs, code reviews).
• Interest in GenAI adoption in QA test intelligence, auto-triage, AI-driven coverage analysis

Our Commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.