Member of Technical Staff (Search Core, Indexing & Data Pipeline Stream)
Belgrade · London · Remote · Berlin · Belgrade, Serbia
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Search — team source
Department: Search
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now or in the future require sponsorship for employment visa status in the United States, Berlin, Belgrade or London?
From the employer’s application form
What you’ll work on
Full postingDesign and build search engine components, such as indexing pipelines and data storage formats
Develop streaming and batch data processing with YT systems for index construction
Push hardware performance through low-level optimization and systems-level tuning
Tackle multithreading, concurrency, and system-level optimization challenges
From the employer’s posting
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
What you’ll bring
All qualificationsCore experience
- 3+ years of systems programming (Rust, C++, C, or similar)
- Experience with data processing systems such as YT, Kafka, or Hadoop
- Deep understanding of multithreading and concurrency trade-offs
- Solid understanding of Linux internals
- Ownership of the full project lifecycle, including deployment and scaling in production
Qualification wording
3+ years of hands-on experience in systems programming (Rust, C++, C, or similar)
Knowledge of Data processing systems (YT/Kafka/Hadoop)
Deep understanding of multithreading, including various approaches, challenges, and trade-offs
Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning)
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
Tools in this posting
- C
- C++
- Python
- Rust
- AWS
- Hadoop
- Kafka
- Kubernetes
Source — Tool mentions in context
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
- 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)
- Experience with trading systems or other latency-sensitive real-time systems - Familiarity with cloud services, Kubernetes, and AWS infrastructure
- 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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 18, 2026 · 41 days ago
- Recorded sightings
- 121
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job 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.
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)
Nice to have
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
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Belgrade, Serbia
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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