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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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