Software Engineer 2

Lam Research; Bengaluru; On-site; INR 1,400,000 - 2,300,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Lam Research in Bengaluru is seeking a Software Engineer to design, develop, and debug software for control systems and QA automation. You will create test designs, automate with PyTest and Allure, and integrate GenAI-based testing across hardware tools and simulators.

You will collaborate with development and QA leads, explore MCP-based integrations, and apply prompt engineering to generate tests and reports, leveraging VS Code and Copilot for rapid authoring.

Qualifications

• Prompt engineering for code generation, test case creation, and QA analysis using LLMs.
• Familiarity with AI agent concepts and MCP tools, and agent interactions with external systems.
• Proficiency in AI-assisted development workflows (VS Code + Copilot).
• Basic programming skills in Python.
• Experience with GUI, functional, integration, regression, and system performance testing.
• Experience with PyTest and Allure – structured test cases and reports.
• Strong analytical, problem‑solving, and troubleshooting skills.
• Excellent written, verbal, and presentation communication skills.

Responsibilities

• Implement control system software validation and automation for hardware tools and simulators using GenAI solutions.
• Implement end-to-end QA solutions including test automation framework with GenAI-centric approach.
• Handle test-data management, bug reporting, and root-cause analysis of customer issues.
• Create test design and test cases; develop automation scripts and execute them automatically.
• Identify gaps in test coverage and QA processes using GenAI solutions.
• Explore MCP-based integrations to connect AI agents with internal tools and simulators.
• Design, develop, and maintain automated test scripts using PyTest with Allure reporting.
• Leverage GitHub Copilot to write and execute Python-based test automation for validation.
• Evaluate different LLM tools and benchmark accuracy and effectiveness.
• Apply prompt engineering to interact with AI/LLM tools for test generation and QA reporting.
• Contribute to AI agent design to automate QA workflows like issue analysis and release notes.
• Use Copilot within VS Code to accelerate test authoring, code review, and documentation generation.
• Collaborate with development and QA leads to improve coverage, traceability, and evidence quality.
• Troubleshoot by analyzing software logs and reproducing issues on simulators.

Skills

Prompt engineering

AI agent concepts

AI-assisted development

Python programming

Test automation

PyTest & Allure

Analysis & debugging

Communication skills

Education

Bachelor’s degree in engineering

Tools

VS Code

GitHub Copilot

PyTest

Allure

Jira/Bitbucket

Job description

About the Group

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.

Impact

As a Software Engineer at Lam, you will be at the forefront of innovation by designing, developing, 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.

Responsibilities

• Implement control system software validation and automation for hardware tools and simulator using GenAI solutions.
• Implement end-to-end QA solutions including test automation framework using a GenAI‑centric approach.
• Work on test‑data management, bug reporting, customer support, debugging and root‑cause analysis of customer issues.
• Create test design & test cases, develop automation scripts and execute them automatically.
• Identify gaps in test coverage and 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 benchmark their 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 such as issue analysis, release note generation, and 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.
• Perform troubleshooting by analyzing software logs, reproducing issues on a simulator environment, and debugging code to identify root causes.

Qualifications

• Ability to craft effective prompts for code generation, test case creation, and QA analysis using LLMs (ChatGPT, Copilot, etc.).
• Familiarity with AI agent concepts, MCP tools, and an understanding of how agents interact with external systems via protocols.
• Proficiency in AI‑assisted development workflows (VS Code + GitHub Copilot), including reviewing, refining, and validating Copilot suggestions.
• Basic programming skills in Python.
• Experience with testing methods such as GUI, functional, integration, regression, and system & performance testing.
• Experience with PyTest and Allure – writing structured test cases with fixtures, markers, and generating Allure reports.
• Strong analytical, problem‑solving, and troubleshooting skills.
• Excellent written, verbal, and presentation communication skills.

Preferred Qualifications

• Bachelor’s degree in engineering (preferred Computer Science, Electronics, or Information Technology).
• 5–7 years of experience.
• 2 years of experience in AI usage/implementation.

Desired Skills

• Exposure to Jira or 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.