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Talent@ Beta
Perplexity

Senior Search Engine Developer - Search Core

Perplexity · Series B · Website

Role Details

Location
Belgrade
Salary (est. USD)
~$140K - $220K (est. USD)

Estimated based on role seniority, company stage (Series B), and industry benchmarks. Actual compensation may vary.

How is this calculated?
Seniority band Senior / Lead
Base range $140K – $220K

Based on Web3 & AI industry compensation data. Seniority is inferred from role title keywords. Company stage affects ranges: early-stage (−15%), late-stage/public (+10%).

Department
Search
Type
Full-time
Vertical
AI

Job Description

Perplexity is looking for a highly skilled Senior or Expert Systems Engineer to join our Search Core team. This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in our technical stack.

Responsibilities

  • Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages

  • Develop streaming and batch data processing systems for search index construction in a high-load environment

  • Push the limits of hardware performance through low-level optimizations and systems-level tuning

  • Tackle challenges in multithreading, concurrency, and system-level optimization

Qualifications

  • 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar)

  • Ownership of full project lifecycle — you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production

  • Knowledge of Python or other scripting languages

  • Passion for writing clean, efficient, and scalable systems-level code

  • Strong knowledge of algorithms and data structures, and the ability to apply them effectively

  • Deep understanding of multithreading, including various approaches, challenges, and trade-offs

  • Experience building high-load, distributed, and hardware-adjacent services

  • Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning)

  • Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling)

Preferred Qualifications

  • Experience developing core components of search engines, databases, or information retrieval systems

  • Understanding of search fundamentals: indexing, query parsing, ranking, and relevance

  • Experience with trading systems or other latency-sensitive real-time systems

  • Familiarity with cloud services, Kubernetes, and AWS infrastructure

About Perplexity

AI-powered answer engine combining search and language models.

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