Principal Software Engineer, GenAI Platform

Every day tens of millions of people come to Roblox to explore create play learn and connect with friends in 3D immersive digital experiences all created by our global community of developers and creators.

At Roblox were building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together from anywhere in the world and on any device. Were on a mission to connect a billion people with optimism and civility and looking for amazing talent to help us get there.

A career at Roblox means youll be working to shape the future of human interaction solving unique technical challenges at scale and helping to create safer more civil shared experiences for everyone.

About the role:

Foundation AI builds the platforms services and infrastructure that enable machine learning and generative AI across Roblox. As a Principal Engineer on this team youll set technical strategy and direction across areas such as model training and inference LLM services agent infrastructure data systems experimentation evaluation and developer tooling. Youll be accountable for the architecture and long-term health of systems that many teams depend on and youll shape how Roblox builds AI partnering with engineering product research data infrastructure safety creator engine discovery and economy. You will report to an Engineering Manager within the Foundation AI organization.

You will:

• Define the multi-year technical vision and architecture for platforms and services that power machine learning generative AI and agentic experiences across Roblox.
• Drive the hardest most ambiguous highest-leverage problems on the platform from framing through production on multi-provider inference resiliency and scaling information retrieval infrastructure for agentic use and be accountable for the outcomes.
• Establish the standards paved paths and guardrails that make the platform self-serve for every team at Roblox multi-tenant usage attribution and metering built-in spend controls and fast ticket-free onboarding.
• Make foundational trade-offs in quality latency reliability cost and responsible data use for systems operating at Roblox scale treating instrumentation and observability as a first principle of the architecture not an afterthought.
• Own the operational standard for the platform at scale SLOs capacity planning on-call and incident response and design for graceful degradation and fast recovery not just steady-state correctness.
• Identify high-impact opportunities and risks ahead and build alignment across engineering and leadership to act on them.
• Multiply the impact of other engineers through technical mentorship design and code review and setting the bar for engineering excellence.

You have:

• An undergraduate/graduate degree in computer science a related technical field or equivalent practical experience.
• 8 years of experience building and operating large-scale production software distributed systems cloud services or related infrastructure.
• A sustained track record of designing and owning foundational systems or platforms with organization- or company-wide impact.
• Deep expertise in one or more of machine learning generative AI distributed systems data infrastructure or developer platforms with the breadth to reason across all of them.
• Expert proficiency in one or more of Go Python or Rust and the judgment to choose the right tools for durable systems.
• A history of setting technical direction across multiple teams and driving large cross-organizational efforts to completion.
• Exceptional communication and influence skills with the ability to align engineers product and leadership around a technical strategy.

Nice to have:

• Experience building or operating an LLM gateway inference-serving or model-routing layer multi-provider failover rate limiting and token/cost accounting at scale.
• Hands-on work with vector databases similarity search or knowledge graphs and with RAG or agentic systems (retrieval pipelines agent memory context management evaluating non-deterministic systems).
• Experience designing multi-tenant platforms usage attribution metering spend controls and self-serve onboarding.
• Background in GPU infrastructure or ML inference efficiency (batching quantization accelerator utilization cost optimization).

Required Experience:

Staff IC