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Search Rust Engineer

This listing is synced directly from the company ATS.
Remote

Role Summary

As a Search Rust Engineer at Perplexity, you will focus on optimizing ultra-low-latency search infrastructure using Rust, profiling services, and developing backend components for real-time search. This is a senior-level role that requires collaboration with product and infrastructure teams to enhance query performance. Your contributions will directly impact user experience and system efficiency.

Benefits & Culture

This position is fully remote, allowing for a flexible work environment. While specific benefits are not detailed, typical perks for tech roles include opportunities for career growth, a culture of innovation and performance improvement, and the chance to work in a fast-paced team that values efficiency and collaboration.

Full Job Description

Perplexity AI is seeking a talented Search Rust Engineer to join our rapidly growing team, driving innovation in AI-powered search experiences. As a Search Rust Engineer, your main mission will be to relentlessly optimize performance - squeezing every millisecond of latency from our search stack, while implementing robust, scalable, and reliable systems.


Responsibilities:

  • Architect, build, and optimize ultra-low-latency search infrastructure using Rust

  • Profile and instrument services, continuously driving down response times at scale

  • Develop and maintain distributed backend components powering real-time search and retrieval

  • Collaborate closely with product and infrastructure teams to design systems that deliver best-in-class query performance

  • Apply advanced concurrency, memory management, and network programming patterns for maximum throughput

  • Monitor, debug, and tune production workloads to ensure reliability under demanding traffic

  • Contribute to code reviews and mentor peers in high-efficiency Rust development

Requirements:

  • Deep expertise in Rust programming, especially for backend/search systems

  • Experience profiling and tuning high-load, low-latency distributed services

  • Strong understanding of systems design, Linux internals, and performance debugging

  • Background in cloud infrastructure - preferably AWS - and container orchestration

  • Track record of driving efficiency for search or data-intensive products

  • Ability to thrive in fast-paced environments and own critical product code

  • Passion for benchmarking, instrumentation, and continuous performance improvement

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