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

- Company: Perplexity
- Role group: Search
- Location: Belgrade
- Type: FullTime
- Remote: no
- Posted: 2026-09-18
- Status: active
- Apply: https://jobs.ashbyhq.com/perplexity/89750227-f7fe-4e9f-bcdd-eada353163fd?ref=companies-hiring.click

## Description

Perplexity is looking for a highly skilled Expert Systems Engineer to join our Search Core team. For the indexing and data processing stream. 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, especially indexing pipelines, data storage formats that operate at the scale of billions of pages

 - Develop streaming and batch data processing with YT 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

 - 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

 - Knowledge of Data processing systems (YT/Kafka/Hadoop)

 - 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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