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Salary
$200k – $400k per year
Location
Remote/Hybrid (San Francisco, New York, United States)
Seniority
Staff · 4+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Perplexity AI is an American company that builds an answer engine combining live web search with large language models to return sourced, conversational responses instead of a list of links. Its products span a consumer assistant on web and mobile, the Comet browser, enterprise search over internal documents and the Sonar developer API that exposes the same grounded retrieval stack. Founded in 2022 in San Francisco by former researchers and engineers from OpenAI, Meta and Databricks, the company is backed by NVIDIA, IVP, New Enterprise Associates and SoftBank.

Perplexity AI is looking for experienced Generalist Software Engineers to join our Perplexity and Comet application teams. Our team is reshaping knowledge work through our high-impact desktop and Comet apps. The ideal candidate should have strong programming skills and multiple years of experience shipping high-quality, production software. Our stack spans several different skillsets, including Rust, Kotlin, Swift, Typescript, Chromium and Perplexity’s core AI stack. We have found that our strongest engineers are capable of working across multiple codebases and ramping up quickly, and we expect the same high bar for candidates.

Responsibilities

  • Work closely with product teams to implement novel mobile experiences.

  • Work closely with design teams to design fast and intuitive UI.

  • Utilize Perplexity Computer and other Agentic coding tools to accelerate development.

  • Collaborate with data science and machine learning teams to instrument, analyze, and improve the end-to-end experience.

  • Work with infrastructure and QA teams on deployment processes, including testing, release, and monitoring.

Requirements

  • 4+ years industry experience

  • Experience in shipping high-quality native applications

  • Architecture experience in writing code understandable by both agents and humans

  • Deep understanding of app performance

  • Ability to own projects and surfaces, and to push them forward proactively

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