Support troubleshooting and issue resolution during testing phases as well as in production environments.
Document technical architecture, methodologies, and innovations for effective knowledge transfer and ongoing advancement.
Conduct thorough code reviews, provide expert guidance on enhancements and issue resolution, and ensure adherence to engineering standards.
Who we’re looking for
Minimum Qualifications
Master’s in computer science, computer engineering, electronics, or a related field with two or more years of industry experience.
Strong backend engineering foundation, including experience designing services, data models, and asynchronous processing systems.
Strong knowledge of Docker, Kubernetes, and CI/CD pipelines.
Experience building prototypes or production applications that utilize generative AI.
Experience with vector databases such as FAISS, Milvus, or Weaviate, and caching systems such as Redis or Memcache
Hands-on experience with retrieval-augmented generation (indexing, chunking, embeddings, reranking) and context engineering focusing on reliability, cost, and latency optimization.
Strong agent design skills, including prompt engineering, tool use, multi-step agent workflows such as ReAct, and failure handling.
A passion for turning cutting-edge AI into practical, high-impact solutions.
Ability to translate complex technical ideas into scalable architecture.
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.
Salary
CA San Francisco Bay Area Salary Range for this position: $86,000.00 - $183,000.00.
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.
