Software Technical Lead Engineer

In the Global Products Group, we are dedicated to excellence in the design and engineering ofLam's etch and deposition products. We drive innovation to ensure our cutting-edge solutionsare 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.

Will be implementing control system software validation and automation for Hardware tools and simulator using GenAI solutions.
Will be responsible for implementing End-to-End QA solutions including test automation framework using GenAI centric approach.
Will be working on test-data management, bug reporting, supporting customer, debugging and root causing customer issues, creating test design & test cases, automation script development and automated script execution.
Identify gaps in test coverage and all other QA processes using GenAI solutions.
Explore and implement MCP (Model Context Protocol)-based integrations to connect AI agents with internal tools, simulators, and test infrastructure.
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.
Evaluate different LLM tools and be able to benchmark the accuracy and effectiveness.
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., Issue analysis, release note generation, test coverage mapping).
Leverage GitHub Copilot within VS Code to accelerate test authoring, code review, and documentation generation.
Collaborate with development and QA leads to improve test coverage, traceability, and evidence quality across releases.
Troubleshooting involves performing in-depth analysis of software logs, reproducing the issue on a simulator environment and debugging through code to identify the root cause

Prompt Engineering - Ability to craft effective prompts for code generation, test case creation, and QA analysis using LLMs (ChatGPT, Copilot, etc.).
Agent Design & MCP tools - Familiarity with AI agent concepts; exposure to MCP tools and understand how agents interact with external systems via protocols.
VS Code + GitHub Copilot - Proficient in AI-assisted development workflows; knows how to review, refine, and validate Copilot suggestions.
Basic programing skills, programing language like Python
Experience in testing methods like GUI, Functional, Integration, Regression, and System and Performance Testing
Experience in PyTest + Allure - Experience writing structured test cases with fixtures, markers, and generating Allure reports.
Strong analytical, problem solving and troubleshooting skills
Excellent written/verbal communication skills and presentation skills

Eligibility criteria

Bachelor's degree in engineering preferably Computer Science / Electronics / Information Technology

Years of Experience - 5-7 years

Years of experience in AI usage/implementation - 2 years.

Desired skills

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.

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.