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Lam Research Bangalore is seeking a candidate to join the Global Information Systems Group. The role supports infrastructure, data management, security, and analytics, ensuring systems run securely and efficiently to meet business objectives.
You will work on data engineering, BI, and data governance initiatives, collaborating across teams in a fast-paced, hybrid environment with opportunities to impact semiconductor IT strategy.
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. 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.
Date: Aug 27, 2026
Location: Bangalore, IN-Bangalore, IN
Worker Category: On-site Flex
The Global Information Systems Group is dedicated to the success of Lam through providing best-in-class and innovative information system solutions and services. Together, we support users globally with data, information, and systems to achieve their business objectives.
The Information Technology function is responsible for managing and overseeing the technology infrastructure that that supports the organization’s operations. This includes the maintenance of hardware, software, networks, databases, and communication systems; ensuring that these systems are secure, efficient, and capable of supporting business objectives. Key responsibility areas include infrastructure management, software and systems maintenance and development, data management and security, technical support, and strategic planning and innovation. The Data Management & Analytics area is responsible for multiple aspects of data management and operations for the firm, including database administration and design, business intelligence and data architecture, data analytics, governance, and quality. The Data Engineering focus specializes in designing, building, and maintaining the infrastructure for data generation, storage, and access. Develops pipelines to ensure the efficient collection, transformation, and availability of data for analysis through integrating data from various sources, optimizing data architecture, and ensuring data integrity.
Developing professional expertise, applies company policies and procedures to resolve a variety of issues.Works on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.Exercises judgment within defined procedures and practices to determine appropriate action. Builds productive internal and/or external working relationships.Works to maintain team performance standards under changing circumstances.Works on problems of moderate scope where analysis of situations or data requires evaluation of identifiable factors.Normally receives general instructions on routine work, detailed instructions on new projects or assignments.Completes most tasks using independent judgment soliciting team insight.
Typically requires a Bachelor’s degree and aminimum of 2 years of related experience; or anadvanced degree without experience; or equivalent work experience.
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.
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