Member of Technical Staff (software Engineer, Computer)

Perplexity Perplexity · AI Frontier · San Francisco, CA · Product Engineering

This role is for a software engineer on the 'Computer' team at Perplexity, focusing on building and owning product and platform systems for agentic AI. The engineer will lead features end-to-end, iterate on hard problems, and build systems that handle AI nuances like agents, context, evaluation, and personalization. The role requires strong software engineering experience, production system building, and product judgment, with a preference for experience in LLMs, agents, retrieval systems, personalization, or evaluation frameworks.

What you'd actually do

  1. Design, build, and own product and platform systems for Computer
  2. Lead features, projects and products end-to-end, from problem definition to technical design, implementation, and launch.
  3. Hill climb on hard problems, continuously iterating to improve for ourselves and customers.
  4. Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams.
  5. Build systems that take into account the nuances of AI, working with agents, context, evaluation, personalization and the ground truth.

Skills

Required

  • 4+ years of professional software engineering experience
  • Strong experience in at least one general-purpose programming language such as Python, Go, TypeScript, JavaScript, Swift, Rust, Java, or C++
  • Experience building and operating production systems at a meaningful scale
  • Strong product judgment and the ability to translate user problems into simple, effective technical solutions
  • Genuine interest and adoption of AI products and willingness to learn quickly

Nice to have

  • Experience with LLMs, agents, retrieval systems, personalization, or evaluation frameworks
  • Time spent at a fast-growing startup or on a high-ownership engineering team
  • Founded a company or initiative

What the JD emphasized

  • build products and systems that define how AI empowers humans to think, decide and act
  • ship fast and work between product, infrastructure and frontier level advancements in technology
  • build systems that take into account the nuances of AI, working with agents, context, evaluation, personalization and the ground truth

Other signals

  • building agentic AI products
  • transforming knowledge into action
  • defining how AI empowers humans to think, decide and act
  • shipping fast and working between product, infrastructure and frontier level advancements
  • building systems that take into account the nuances of AI, working with agents, context, evaluation, personalization and the ground truth