Software Engineer L5, LLM Compute & Serving Systems

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages.

Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

• Self-driven and highly motivated to deliver top-tier ML infrastructure while navigating highly ambiguous environments and can execute 0-to-1 projects.
• Eager to learn about new domains and ship high-quality, well-tested code.
• Able to produce generic and optimal solutions while balancing near-term needs.
• Excited to work in a multidisciplinary environment (engineering, algorithms, data engineering/science, and product experimentation).
• Comfortable working in a hybrid team with partners distributed across (US) geographies & time zones.
• Willing to take broad ownership of team responsibilities (building roadmaps, scoping, task breakdowns, etc.)
• Building and operating high-traffic, real-time distributed systems and ML serving infrastructure for LLMs and other large foundation models.
• Supporting large-scale ML models with a direct impact on what customers see.
• Translating the requirements of research scientists into generic platform offerings.
• Delivering systems requiring high availability, throughput, and performance.
• Navigating highly ambiguous environments.
• Taking on and executing zero-to-one projects.
• Leading projects with 3-4 other engineers.
• Building applications in an object-oriented programming language. (We work primarily with Java, and while prior Java experience is not required to interview, you will be expected to become proficient on the job.)
• DevOps for large applications, including performance tuning, optimization, deployment management, and capacity planning.
• Public cloud like AWS, Azure, or GCP.
• You are a proactive, effective communicator and have a strong bias towards action.
• You have a BS/MS in Computer Science, Applied Math, Engineering, or a related field.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams.

We approach diversity and inclusion seriously and thoughtfully.

We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.