Software Engineer 2

Lam Research Salzburg GmbH; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Lam Research in Bengaluru, India is seeking a Senior Software Engineer – Quality Assurance Automation to drive test automation and AI-assisted QA. You will validate complex equipment control software, implement automated testing, and work with global teams to improve product quality and testing efficiency.

You will leverage Generative AI tools, contribute to AI-driven QA workflows, and own testing activities for medium-sized features.

Qualifications

• 3–5 years of experience in Software Quality Assurance, Test Automation, Software Testing, or Software Validation.
• Good understanding of Functional, Integration, Regression, System, GUI, and Performance Testing methodologies.
• Hands‑on experience developing and maintaining automated test solutions for desktop, enterprise, control software, or hardware‑integrated applications.
• Proficiency in Java, Python, or similar programming/scripting languages.
• Strong analytical, debugging, troubleshooting, and problem‑solving skills.
• Understanding of computer architecture and operating systems.
• Effective written and verbal communication skills with the ability to collaborate across global teams.
• Ability to independently own testing activities with minimal supervision
• Willingness to work on desktop‑based applications, equipment control software, and hardware‑integrated software solutions.

Responsibilities

• Quality Engineering & Test Automation: Design, develop, and execute functional, integration, regression, system, GUI, and performance test cases.
• Quality Engineering & Test Automation: Develop and maintain automated test suites to improve release quality, test coverage, and execution efficiency.
• Quality Engineering & Test Automation: Create test plans, test data, validation scenarios, and automation assets for new features and software releases.
• Quality Engineering & Test Automation: Support CI/CD-driven testing and automated validation activities.
• Quality Engineering & Test Automation: Leverage Generative AI tools to accelerate test case creation, automation scripting, and QA workflows.
• Product Validation & Customer Support: Qualify software releases, patches, and enhancements before customer deployment.
• Product Validation & Customer Support: Investigate, reproduce, analyze, and troubleshoot customer-reported software issues.
• Product Validation & Customer Support: Perform log analysis, defect reporting, debugging, and root-cause identification.
• Product Validation & Customer Support: Partner with software engineering teams to validate fixes and ensure timely issue resolution.
• AI-Assisted Quality Engineering: Apply Generative AI tools in daily QA activities including test case design, automation development, defect analysis, and quality reporting.
• AI-Assisted Quality Engineering: Develop reusable AI prompts, templates, and accelerators that improve QA productivity.
• AI-Assisted Quality Engineering: Evaluate AI-driven testing approaches and contribute to AI adoption within quality engineering processes.
• AI-Assisted Quality Engineering: Support development of lightweight AI-powered quality utilities and workflow automation solutions.
• AI-Assisted Quality Engineering: Ability to demonstrate measurable productivity improvements achieved through AI-assisted testing approaches.
• Technical Ownership & Collaboration: Own testing and automation delivery for medium-sized features and releases.
• Technical Ownership & Collaboration: Participate in test strategy discussions and recommend validation approaches.
• Technical Ownership & Collaboration: Collaborate with software developers, quality engineers, systems teams, and customer support globally.
• Technical Ownership & Collaboration: Track execution progress and provide quality status updates to stakeholders.
• Technical Ownership & Collaboration: Drive quality improvements through test automation and process optimization.
• Technical Ownership & Collaboration: Identify automation opportunities to improve efficiency, coverage, and release confidence.
• Technical Ownership & Collaboration: Contribute to improving software reliability, maintainability, and overall customer experience.
• Technical Ownership & Collaboration: Stay current with advancements in AI-assisted testing, automation frameworks, and modern quality engineering practices

Skills

Java

Python

Test automation

QA methodologies

Job description

In your career, let’s prove what’s possible.

At Lam Research, we create equipmentthat drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible.

Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.

The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities.

Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.

Software Engineer 2

Date: Jul 6, 2026

Location: Bangalore, IN-Bangalore, IN

Worker Category: On-site Flex

The group you’ll be a part of

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.

The impact you’ll make

At Lam Research, software quality plays a critical role in delivering reliable and high-performing semiconductor manufacturing solutions used by customers worldwide. As semiconductor systems become increasingly complex, quality engineering is essential to ensure product stability, performance, reliability, and customer satisfaction.

As a Senior Software Engineer – Quality Assurance Automation, you will work closely with software developers, product teams, and global engineering organizations to validate cutting-edge equipment control software. You will drive quality initiatives through test automation, customer issue analysis, defect management, and the adoption of modern AI-assisted testing practices. This role provides an opportunity to influence product quality, improve testing efficiency, and contribute directly to solutions used in advanced semiconductor manufacturing environments.

What you’ll do

Quality Engineering & Test Automation

• Design, develop, and execute functional, integration, regression, system, GUI, and performance test cases.
• Develop and maintain automated test suites to improve release quality, test coverage, and execution efficiency.
• Create test plans, test data, validation scenarios, and automation assets for new features and software releases.
• Support CI/CD-driven testing and automated validation activities.
• Leverage Generative AI tools such as GitHub Copilot, ChatGPT, Microsoft Copilot, or equivalent tools to accelerate test case creation, automation scripting, and quality engineering workflows.

Product Validation & Customer Support

• Qualify software releases, patches, and enhancements before customer deployment.
• Investigate, reproduce, analyze, and troubleshoot customer-reported software issues.
• Perform log analysis, defect reporting, debugging, and root-cause identification.
• Partner with software engineering teams to validate fixes and ensure timely issue resolution.

AI-Assisted Quality Engineering

• Apply Generative AI tools in daily QA activities including test case design, automation development, defect analysis, and quality reporting.
• Develop reusable AI prompts, templates, and accelerators that improve QA productivity.
• Evaluate AI-driven testing approaches and contribute to AI adoption within quality engineering processes.
• Support development of lightweight AI-powered quality utilities and workflow automation solutions.
• Ability to demonstrate measurable productivity improvements achieved through AI-assisted testing approaches.

Technical Ownership & Collaboration

• Own testing and automation delivery for medium-sized features and releases.
• Participate in test strategy discussions and recommend appropriate validation approaches based on product requirements.
• Collaborate with software developers, quality engineers, systems teams, and customer support organizations globally.
• Track execution progress and provide accurate quality status updates to stakeholders.
• Drive quality improvements through test automation and process optimization.
• Identify automation opportunities to improve efficiency, coverage, and release confidence.
• Contribute to improving software reliability, maintainability, and overall customer experience.
• Stay current with advancements in AI-assisted testing, automation frameworks, and modern quality engineering practices

Who we’re looking for

Required Qualifications

• 3–5 years of experience in Software Quality Assurance, Test Automation, Software Testing, or Software Validation.
• Good understanding of Functional, Integration, Regression, System, GUI, and Performance Testing methodologies.
• Hands‑on experience developing and maintaining automated test solutions for desktop, enterprise, control software, or hardware‑integrated applications.
• Proficiency in Java, Python, or similar programming/scripting languages.
• Strong analytical, debugging, troubleshooting, and problem‑solving skills.
• Understanding of computer architecture and operating systems.
• Effective written and verbal communication skills with the ability to collaborate across global teams.
• Ability to independently own testing activities with minimal supervision
• Willingness to work on desktop‑based applications, equipment control software, and hardware‑integrated software solutions.

Preferred qualifications

• Experience with desktop-based applications, equipment control software, or hardware‑integrated software systems.
• Familiarity with automation frameworks and modern testing tools.
• Exposure to CI/CD pipelines and automated build validation.
• Knowledge of Unix/Linux operating systems.
• Experience building AI-assisted QA workflows, utilities, or testing accelerators.
• Exposure to semiconductor equipment software, industrial automation, embedded systems, or manufacturing software environments.
• Knowledge of AI-assisted coding and modern software development practices.

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.

Job Segment: Test Engineer, Quality Assurance, Testing, Software Engineer, Embedded, Engineering, Technology