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Perplexity AI is seeking a Member of Technical Staff (MTS) for its Infrastructure team. The Infrastructure organization builds and operates foundational systems powering Perplexity's AI answer engine and search products for consumers and enterprises. This role focuses on cross-cutting infrastructure problems spanning compute, storage, networking, data, deployment, and reliability—systems that sit on the critical path of every answer, supporting real-time search, retrieval, model serving, and agent workloads where latency and reliability directly impact user experience.
Key responsibilities include owning complex production systems end-to-end, from architecture through operation; designing and building distributed infrastructure supporting consumer, AI, and enterprise workloads; identifying gaps between existing platforms and building shared abstractions and automation to make infrastructure safer and easier to use; improving system performance, availability, scalability, and cost-efficiency across online and background workloads; debugging complex production issues across service and infrastructure boundaries and turning findings into durable architectural improvements; and setting technical direction for complex infrastructure systems, leading high-impact programs across teams, and establishing technical standards through collaboration with infrastructure, product, AI, and security partners.
The ideal candidate has 4+ years of professional software engineering experience building and operating production backend, platform, or distributed systems; a track record of owning complex production systems end-to-end and delivering sustained technical impact across teams; demonstrated ability to set technical direction, lead through influence, and raise the engineering bar through architecture, design reviews, and mentorship; strong software engineering skills in Python or systems/backend languages (Go, Rust, C++, Java); meaningful experience across at least two infrastructure domains (cloud platforms, distributed systems, Kubernetes, storage, databases, networking, data systems, developer infrastructure, production reliability); and the ability to develop depth quickly in unfamiliar systems, reason across software and infrastructure layers, and drive production incidents from diagnosis through resolution.
About Perplexity AI
AI / Data / Infrastructure — AI answer engine and search product for consumers and enterprises.
