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Location
Hybrid (Bengaluru, India)
Seniority
Middle

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 2, 2026. Lam Research scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Lam Research is an American semiconductor equipment company founded in 1980 that specialises in the deposition and etch steps used to build transistors and memory cells. Its tools are central to three-dimensional NAND manufacturing, where hundreds of layers must be etched through in high aspect ratio channels, and to the atomic layer deposition and selective etch processes required at advanced logic and DRAM nodes. Headquartered in Fremont, California and listed on Nasdaq, it also runs a large installed base business supplying spares, upgrades and service, which smooths the sharp cycles in equipment purchasing.
Backed by Matrix

The group you’ll be a part of

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.

The impact you’ll make

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

  • Responsible for the design, development, and maintenance of LAM standards compliant software
  • Plans, coordinates, and executes development activities within small to medium-sized projects
  • Responsible for leading and driving projects involving multiple developers from within and other departments by taking complete ownership of component software
  • Responsible for maintenance of install base by analyzing, debugging and fixing customer issues
  • Participates in customer issues and escalations to provide quick workarounds and long-term fixes
  • Responsible for technically reviewing and mentoring junior engineers with the object to deliver high quality software on time
  • Interact with peers across teams to carry out day to day activities
  • Initiates and drives continuous improvement projects aimed at improving productivity enabling business units deliver products with minimum cost and shortest cycle time
  • Drives productivity of the group by monitoring and reporting KPIs and driving necessary actions to address any gaps
  • Lead the identification, development, and responsible deployment of AI-enabled solutions for software engineering productivity, semiconductor equipment diagnostics by driving AI-assisted engineering practices, collaborating across software, process, hardware, field and support teams, and ensuring measurable quality, reliability and safe fallback behaviour

Who we’re looking for

Minimum Qualifications:

Bachelor’s degree or master’s degree in engineering preferably Computer Sc / Electronics / Information Technology Years of Experience - 5 to 8 years

Mandatory Skills:

  • Programming knowledge in C - preferably in hardware interfacing
  • Knowledge of RTOS
  • Experience in SDLC - Participated in design, IM and testing of projects
  • Strong analytical, logical, trouble shooting skills
  • Excellent problem solving and decision-making skills
  • Hands on experience in complete project development life cycle
  • Exposure to customer management
  • Hands-on experience applying AI-assisted software engineering tools for code generation, code review, Unit test creation, defect analysis, and technical documentation, with strong validation and secure-use practices
  • Ability to identify and deliver AI-enabled productivity solutions while protecting intellectual property, safety and regulatory compliance

Desirable Skills:

  • Knowledge of OOPS concepts, Scripting
  • Experience in the semiconductor equipment manufacturing industry
  • Understanding of distributed systems and socket programming
  • Excellent communication and Presentation skills
  • Experience using equipment, sensor, alarm, trace, or log data for anomaly detection, predictive diagnostics, root-cause analysis, process monitoring, or maintenance optimization in semiconductor manufacturing systems
  • Familiarity with generative AI patterns and agentic workflows for engineering knowledge retrieval.
  • Exposure to deploying and monitoring AI solutions in production, including version control and lifecycle governance

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.

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