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

Perplexity• about 1 year ago•via ashby:perplexity
Full-time Fully remote Salary not disclosed

Job Snapshot

Company
Perplexity
Category
Engineering
Remote
Fully remote
Eligibility
All 50 states
Posted
about 1 year ago
Salary
Not disclosed

Eligibility

Hiring in all 50 states.

About this role

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.

Responsibilities

  • 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
  • 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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Originally posted on ashby:perplexity. View original.

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