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Member of Technical Staff (Search Engine Developer, Search Core)

Perplexity · Belgrade

No salary listed. Estimated from 344 salary-disclosed Research roles on this board: $225K–$340K (interquartile range; estimate, not the employer's figure).

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About the role

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

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