Software Engineer Apps 4
About the role
The group you’ll be a part of OCTO- Semiverse Solutions. Within Semiverse® Solutions at Lam Research, we build innovative software products to solve semiconductor technology challenges. Our leading 3D modeling software is revolutionizing the way semiconductor chips are fabricated around the world.
Responsibilities
- 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.
Requirements
- Master’s degree in Computer Science, 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; Handson 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.
Qualifications
- Master’s degree in Computer Science, related field with 10+ years of experience.
- Bachelor's Degree or master's in computer science (or related field of study).
Skills
- Python for distributed systems and backend services with product development experience.
- Kubernetes, containerization, and cloud native architectures.
- RDBMS (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redis, MongoDB).
- Event driven architectures using message queues, streaming platforms, or pub/sub systems.
- Designing and operating large-scale, production grade distributed systems.
- Writing high quality code with a keen attention to detail.
- System design, API design, and architectural documentation skills.
- Communication and mentorship abilities.
Benefits
We offer 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.
Pay
CA San Francisco Bay Area Salary Range for this position: $119,000.00 - $261,000.00. 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.