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

About the Role

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)

Key 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

Requirements & Qualifications

• Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

• Official mentor support
• verified hiring timeline
• and career progression.