The impact you’ll make
As a Software Application Engineer at Lam, you’ll be at the forefront of driving innovation and adoption of our software products. You’ll support fast product evolution through agile processes by analyzing, designing, programming, testing, debugging, and enhancing software applications. With your expertise and initiative, you’ll turn ideas into great products that support advancements in Lam’s semiconductor technology.
In this role, you will have a significant impact on the innovation and efficiency of Lam's products and services. By developing enterprise grade software applications, you will enable data-driven decision making, optimize workflows, enhance user experience, and improve quality and performance of Lam's hardware and processes.
What you’ll do
Design scalable, reliable, and maintainable Python code to support web services and software applications.
Use frameworks like Fast API to build server-side web application logic and integrate user-facing elements.
Debug Python code, optimize performance, and troubleshoot issues across the application lifecycle.
Utilize Python libraries like Pandas, NumPy, and Scikit-learn to support data science projects and machine learning.
Work with front-end developers, data scientists, and DevOps engineers to deliver cohesive solutions.
Documenting code and technical specifications.
Developing a middle tier of database systems (SQL and NoSQL)
Use AI-first approach for documentation, designing, development and troubleshooting of production issues.
Who we’re looking for
Years of Experience:
5–8 years of hands-on experience in software development, specifically with Python programming.
Educational Qualification:
Bachelor’s degree in engineering (Computer Science / IT / related discipline)
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Experience in RabbitMQ for message brokering.
Experience with container technologies like Docker
Experience working in distributed & high volume back-end systems.
Familiarity with CI/CD Pipelines.
Preferred qualifications
Excellent Python programming skills.
Hands
‑
on experience on building scalable RESTful services using FastAPI
Strong fundamentals in data structures and algorithms, and the ability to apply them to solve programming challenges.
Knowledge of Object-Oriented Software (OOS), Object Oriented Design (OOD), or Object-Oriented Programming (OOP) implementation and design, including Design Patterns.
Hands-on experience using AI-powered tools and techniques in software development, including:
AI-assisted coding, debugging, and refactoring.
Code quality improvement and productivity enhancement using modern AI tools.
Experience working with AI Agents, MCP Tools.
Team oriented personality with excellent interpersonal and communication skills
Ability to collaborate effectively with cross-functional and globally distributed teams.
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.