Software Technical Lead Engineer- SKAS

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 Global Product Support Engineer at Lam, you're the backbone of technical support for field engineers, technicians, and product support personnel. Your expertise is crucial in diagnosing, troubleshooting, repairing, and debugging complex semiconductor equipment. Your swift action in responding to situations is critical in resolving issues and ensuring satisfaction of Lam’s valued customers.

What you’ll do

Design, develop, troubleshoot, and debug software programs for enhancements and newproducts.
Implement new customer requirements and features in our existing application.
Maintain and enhance existing code base by investigating and resolving problem areas.
Demonstrate solutions through clear documentation, flowcharts, and well-structured code.
Collaborate with cross functional teams to design and develop software programs.
Provide technical guidance and mentoring for more junior engineers.
May visit customer site to provide support and have ability to travel (total is less than 10%).

What we’re looking for

* Strong Analytical Skills: Ability to dissect complex data sets, identify trends, and draw meaningful conclusions.

* Problem-Solving Acumen: A knack for developing logical solutions to data reconciliation and optimization challenges.

* Data Manipulation Expertise: Proficiency in working with large datasets from disparate sources, cleaning and transforming data as needed.

* Attention to Detail: Meticulous in ensuring the accuracy and integrity of data and forecasts.

* Adaptability & Speed: Ability to work effectively under tight deadlines and prioritize tasks efficiently in a fast-paced environment.

* Collaboration & Communication: Eagerness to work closely with your manager and other team members, clearly communicating insights and progress.

* Automation Mindset: A strong desire to build efficient, automated processes to improve speed and accuracy.

Preferred qualifications

Preferred Qualifications:

* Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.

* 7-12 years of experience in data analysis, preferably in sales operations, manufacturing, supply chain, or semiconductor industry.

* Strong skills in Excel, SQL, and Python (or similar scripting tools for data manipulation and automation).

* Experience with forecasting, demand planning, or revenue modeling.

* Proficiency in working with large, complex datasets from multiple sources and using data visualization tools (e.g., Tableau, Power BI).

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.