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Member of Technical Staff (Rust Engineer, Search)

Perplexity · Belgrade

$65k - $190k/yrStaffEngineeringSearchSearchPosted 9 months ago
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About this role

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

Excerpt from the posting Perplexity published. Read the full description on their site before applying.

Skills this posting mentions

Distributed SystemsRustBenchmarking

About Perplexity AI

Perplexity AI builds AI native search tools. Perplexity Ask, a new search interface that uses OpenAI GPT 3.5 and Microsoft Bing to directly answer any question you ask.

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