Job Title: Software Engineer Apps 5

Company: Lam Research

The group you’ll be a part of

OCTO- Semiverse Solutions

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

• Partner with product management and engineering leadership to define long-term platform strategy.
• Design and build scalable, fault tolerant microservices using Python and modern cloud patterns.
• Architect systems using Kubernetes, container orchestration, and infrastructure-as-code.
• Implement event-driven and asynchronous processing pipelines using messaging, pub/sub, and streaming technologies.
• Build and optimize service APIs, simulation orchestration layers, workflow engines, and data pipelines.
• Design data models and storage strategies using RDBMS and NoSQL systems.
• Contribute to CI/CD, automated testing frameworks, and operational tooling.

Who we’re looking for

• Master’s degree in Computer Science or a related field with 10+ years of experience.

Preferred qualifications

• 10+ years of backend software engineering experience, with at least 3+ years in a senior or staff level role.
• Strong understanding of modern cloud computing platforms (e.g., Azure, AWS, or Google Cloud).
• Strong expertise in Python for distributed systems and backend services with product development experience.
• Deep experience with Kubernetes, containerization, and cloud-native architectures.
• Hands-on skills with RDBMS (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redis, MongoDB).
• Experience building event-driven architectures using message queues, streaming platforms, or pub/sub systems.
• Proven experience designing and operating large-scale, production-grade distributed systems.
• Ability to write high-quality code with a keen attention to detail.
• Excellent system design, API design, and architectural documentation skills.
• Strong communication and mentorship abilities; capable of influencing engineering teams at scale.
• Bachelor's Degree or Master's in Computer Science (or related field of study).
• Experience in vibe coding.
• Familiarity with software product development methodologies.
• Effective organizational skills to manage multiple tasks simultaneously, adjust to shifting priorities, and meet business needs.
• Excellent interpersonal skills to coordinate and communicate with diverse, cross-functional, and matrixed internal and external partners.
• Prior semiconductor experience is preferred.

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.

Work Location Models

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: 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.

Salary

CA San Francisco Bay Area Salary Range for this position: $141,000.00 - $307,000.00.

The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.

Our Perks and Benefits

At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

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Responsibilities:

The engineer will support fast product evolution by analyzing, designing, programming, testing, debugging, and enhancing software applications to turn ideas into products supporting semiconductor technology advancements. Responsibilities include designing and building scalable microservices using Python, architecting systems with Kubernetes, and implementing event-driven processing pipelines.

Requirements:

Candidates require a Master's degree in Computer Science or a related field with 10+ years of experience, including at least 3+ years in a senior or staff level role focused on backend software engineering. Strong expertise in Python, Kubernetes, cloud platforms, and experience with both RDBMS and NoSQL databases are essential.