EngineeringNot provided by source

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

Perplexity · Not provided by source

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Last seen by MeritLog September 12, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Perplexity's Ashby job board and last checked it on September 12, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: Not provided by source
Salary: Not listed by source
Location: Belgrade

Hiring context

How this role compares at Perplexity

Perplexity has 115 live roles in MeritLog’s catalog across 11 job families, and 41 of them are in engineering. 99 of those listings publish a pay range, a disclosure rate of 86%.

Perplexity concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd 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're asking for

3+ years of hands-on experience in systems programming (Rust, C++, C, or similar)Experience
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 productionSkill
Knowledge of Python or other scripting languagesSkill
Passion for writing clean, efficient, and scalable systems-level codeSkill
Strong knowledge of algorithms and data structures, and the ability to apply them effectivelySkill
Deep understanding of multithreading, including various approaches, challenges, and trade-offsSkill
Experience building high-load, distributed, and hardware-adjacent servicesSkill
Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning)Skill
Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling)Skill
Experience developing core components of search engines, databases, or information retrieval systemsSkillPreferred
Understanding of search fundamentals: indexing, query parsing, ranking, and relevanceSkillPreferred
Experience with trading systems or other latency-sensitive real-time systemsSkillPreferred
Familiarity with cloud services, Kubernetes, and AWS infrastructureSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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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