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

At Lam Research, we create equipment that 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.


Modeling Technical Lead Engineer

Date:  Apr 8, 2025
Location: 

Bangalore, IN-Bangalore, IN

Req ID:  188012
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 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

Plans, designs and develops hardware, software, semiconductor or telecommunications systems.

What You’ll Do

Who We’re Looking For

  • Model development: Developing computational / numerical models to simulate fluid flow, heat transfer and chemical reactions. Experience of modeling semiconductor processing equipment is an added advantage.
  • Simulation Setup: Setting up and configuring simulations based on specific semiconductor process requirements such as deposition, etching or cleaning processes.
  • Reduced Order models: Build reduced order models by applying dimensionality reduction techniques, developing mathematical formulations or algorithms. Train the reduced order models using preprocesses data and validate them. Utilize machine learning algorithms regression techniques to optimize model parameters and improve predictive accuracy.
  • Parameter Optimization: Performing parametric studies to optimize process parameters for improved flow and thermal performance of the semiconductor equipment.
  • Verification and Validation: Validate and verify CFD models against experimental data or analytical solutions to ensure accuracy of numerical models.
  • Troubleshooting: Investigate and troubleshoot process issues or anomalies by analyzing simulation results and identifying potential root causes.
  • Collaboration: Collaborate with process, hardware engineers and R&D teams to integrate modeling insights into real-world semiconductor manufacturing processes and address process challenges.
  • Innovation and Research: Stay up to date with the latest advancements in CFD techniques, Fluid and heat transfer modeling techniques to propose innovative solutions and drive continuous improvements.
  • Documentation and Reporting: Maintain detailed records of simulations, methodologies, and results. Prepare technical reports and presentations for internal and external stakeholders. Analyze large datasets generated from simulations, extract meaningful insights, and present findings to the team. Use data-driven approaches to make informed decisions.
  • Quality Assurance: Ensure quality and reliability of CFD simulations through testing, validation and adherence to best practices and industry standards.
  • Risk Assessment: Assess potential risks associated with process variations and design changes through predictive modeling and sensitivity analyses.

Preferred Qualifications

  • M.S./M.E./M.Tech/PhD in Mechanical Engineering, Chemical Engineering, Materials Science, or a related field with chemical reactions modeling as an added advantage
  • Years of Experience: Masters with 4 to 6 years of relevant experience/PhD with 1-2 years of relevant experience
  • Strong background in Fluid and Heat transfer, Multiphase flow, Discrete Phase Modeling, Reaction Kinetics and Chemistry models, computational fluid dynamics (CFD)
  • Proficiency in using software packages such as ANSYS FLUENT, OPTISLANG, TWIN BUILDER, STARCCM+.
  • Proficiency in programming languages such as Python, MATLAB or FORTRAN.
  • Understanding of parallel computing architectures and experience in using HPC resources.
  • Strong analytical and problem-solving skills with the ability to translate simulation data into actionable recommendations.
  • Use of AI/ML techniques for Data modeling and evaluation
  • Knowledge of optimization techniques
  • Excellent communication skills with the ability to convey complex technical information effectively to both technical and non-technical audiences.
  • Self-driven and able to work independently while also collaborating effectively within a team.

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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