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

at Perplexity

Belgrade; London; Berlin, senior, full time, 3+ years

posted 31 Mar 2025

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  • C++
  • Rust
  • C
  • Linux internals
  • SIMD
  • AWS
  • Python
  • Kubernetes

About the role

Posted: 2025-03-31

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.

What you would do

- 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

What they are looking for

- 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)

- 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

Read from jobs.ashbyhq.com, last seen 5d ago.