Member of Technical Staff (General Software Engineer, Infrastructure)

Perplexity·San Francisco, California, United States | London, England, United Kingdom | Austin, Texas, United States | Berlin, Berlin, Germany | Seattle, Washington, United States | New York, New York, United States | Toronto, Ontario, Canada$220K - $405K·posted 30d ago · last seen 15m ago

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About interviewing at Perplexity

One of the few AI startups with a fully published interview guide (perplexity.ai/hub/careers/interview-guide): online application (response within two weeks) → recruiter phone screen → a technical screen that for engineers is 'usually a standard technical programming interview' → a quickly-scheduled onsite of 4–5 interviews including a hiring-manager deep dive on past work and experience anecdotes → a final interview with a Perplexity founder or leader → decision within a week of the onsite. Coding leans Python and mixes LeetCode medium–hard with practical search-flavored tasks (ranking/filtering, concurrency, data handling); system design is AI-native (RAG pipelines, retrieval at scale, LLM serving cost/latency). Applicants are judged 'solely on merit and potential impact' and must show 'frontier knowledge and excellence in at least one area'; roles are broad by default with team matching happening during the onsite, every role — managers included — is hands-on, and building AI products isn't expected but fluency in using AI tools is required. In-person 4 days/week near an office; remote is case-by-case.

Read the full Perplexity interview process →

Description

About the Role

The Infrastructure team builds and operates the foundational systems behind Perplexity’s products. At Perplexity, infrastructure sits on the critical path of every answer, supporting real-time search, retrieval, model serving, and agent workloads where latency, reliability, and rapid iteration directly shape the user experience. This role is for strong infrastructure engineers whose experience spans multiple domains and who are energized by cross-cutting problems that do not fit neatly within a single platform team.

You do not need to be a specialist in every area. Scope ranges from owning major production systems to setting technical direction across teams, leading complex infrastructure programs, and shaping infrastructure strategy across the organization. If a specialized Cloud Infrastructure, Storage Platform, Backend Platform, Data Platform, Connector Platform, or AI Acceleration role clearly matches your expertise and interests, apply directly to it. If your experience spans several infrastructure domains or you are most energized by cross-cutting systems problems, apply here. Submit one application, and we will consider you across the Infrastructure organization.

Key Responsibilities

  • Own cross-cutting infrastructure problems that span compute, storage, networking, data, deployment, and reliability, including eliminating bottlenecks across retrieval and serving paths, building shared abstractions across deployment environments, and resolving failure modes that cross platform boundaries.

  • Design, build, and operate distributed infrastructure supporting Perplexity’s consumer, AI, and enterprise workloads, owning systems from architecture through production operation.

  • Identify gaps between existing platforms and build shared abstractions, automation, and tooling that make infrastructure easier and safer to use.

  • Improve system performance, availability, scalability, and cost-efficiency across online request traffic and background workloads.

  • Debug complex production issues across service and infrastructure boundaries, then turn the findings into durable architectural improvements.

  • Set technical direction for complex infrastructure systems, lead high-impact programs across teams, and establish durable technical standards through collaboration with infrastructure, product, AI, and security partners.

Qualifications

  • 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 other systems or backend languages such as Go, Rust, C++, or Java.

  • Meaningful experience across at least two infrastructure domains, such as cloud platforms, distributed systems, Kubernetes, storage, databases, networking, data systems, developer infrastructure, or production reliability.

  • Ability to develop depth quickly in unfamiliar systems, reason across software and infrastructure layers, and drive production incidents from diagnosis through durable resolution.

If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.

Salary Range: $220K - $405K

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