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Member of Technical Staff (Search Core, Indexing & Data Pipeline Stream)

Perplexity AI - Belgrade, Serbia - In-office - posted 2026-09-18

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Perplexity AI is seeking a highly skilled systems engineer to join the Search Core team, specifically focusing on the indexing and data pipeline stream. This is a critical role in building next-generation search products and technologies. You will drive key architectural and design decisions for foundational components in the technical stack. Responsibilities: - Design and build core search engine components, particularly indexing pipelines and data storage formats that operate at the scale of billions of pages - Develop streaming and batch data processing systems for search index construction in high-load environments - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization - Design and implement retrieval algorithms and ranking systems operating at massive scale - Own the full project lifecycle from architecture through production deployment, operation, and scaling Requirements: - 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar languages) - Demonstrated ownership of full project lifecycle—not just writing fast code, but understanding how systems are built, deployed, operated, and scaled in production - Knowledge of Python or other scripting languages - Experience with data processing systems (YT/Kafka/Hadoop) - Passion for writing clean, efficient, and scalable systems-level code - Strong knowledge of algorithms and data structures with 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

AI / Data / Infrastructure — AI answer engine and search product for consumers and enterprises.

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