Web Access Engineer
Perplexity AI
Web Access Engineer
Perplexity AI
Builds AI search and research tools
Perplexity is hiring a Web Access Engineer for the Crawler team to build reliable fetching and rendering systems for AI-powered search. You'll work on freely available public web content, within site permissions and approved access policies, and develop the infrastructure that supplies content to downstream indexing and retrieval systems.
Your focus will be diagnosing network errors, page-loading issues, and incomplete rendering. You'll trace problems from network protocols through client-side execution, distinguish technical failures from intentional access restrictions, and turn findings into production fixes that improve content quality and efficiency at scale.
Responsibilities
Own fetching and rendering improvements end to end, from investigation through implementation and production rollout, partnering with crawler engineers and SREs.
Investigate fetch and rendering failures across DNS, TLS, HTTP, caching, redirects, and client-side rendering, and classify root causes.
Improve page loading, completion detection, and content capture to preserve relevant content and handle dynamic pages reliably.
Ensure the crawler respects site-imposed access restrictions and rate limits, identifies itself clearly, and retries only transient technical errors.
Build tools to reproduce failures, compare crawler output against expected page content, and turn findings into regression tests.
Define metrics for fetching reliability, content completeness, and error classification, and use them to prioritize improvements.
Qualifications
5+ years of software engineering experience in web infrastructure, browsers, CDNs, or crawling, with strong programming skills in at least one of Go, Python, Rust, or C++.
Deep understanding of HTTP/1.1, HTTP/2, and HTTP/3, including status semantics, caching, conditional requests, content encoding, and redirects; strong knowledge of TLS, DNS, cookies, and sessions.
Understanding of CDN caching and content delivery, HTTP error handling, retry backoff, and server-defined rate limits.
Knowledge of page lifecycle, network idle, service workers, client-side rendering, and shadow DOM; experience debugging JavaScript and fluency with Chrome DevTools, CDP, HAR files, curl, and packet captures.
Comfort working independently when the path forward is not fully defined.
Nice to have
Experience developing CDN, caching, or web performance systems.
Experience operating crawlers, headless browsers, or distributed content-acquisition systems at scale.
Contributions to a browser engine or JavaScript runtime.
Builds AI search and research tools
Perplexity AI builds AI search and research tools for individuals and organizations, combining web retrieval with written answers that link to their sources. Users ask questions in its website or apps, upload files for analysis, and follow up in a conversation, while its Comet browser brings an AI assistant into everyday browsing. Enterprise accounts connect internal files and applications with web research, and developers use its search and agent APIs to add these capabilities to their own software. The company earns money from paid personal and business subscriptions and usage charges for its APIs, alongside free consumer access. Perplexity AI was founded in 2022 and is headquartered in San Francisco, California.
Explore more opportunities at Perplexity AI