Perplexity
Member of Technical Staff (Search Core, Indexing & Data Pipeline Stream)
Belgrade · London · Remote · Berlin
hirly Pro
Get in front of the people hiring at Perplexity
- Reach the hiring manager at Perplexity on LinkedIn, from your own account
- hirly applies to this job for you, with unlimited applications
- A resume and cover letter written for this job, unlimited
- The hiring manager and recruiter at Perplexity, with contact details
$49 a month · ₹1,999 for 30 days in India · cancel any time
Get past the screening software and onto a recruiter's desk
hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.
- Keywords matched to this posting
- Fit score before you apply
- Cover letter included
Matched against 3M live jobs from 220,000+ employers in 200+ countries.
Tailor my resume for this job →Apply from your AI assistant
Connect hirly to Claude or ChatGPT and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending.
Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.
hirly's read of this role
- Seniority
- Lead / management
- Countries
- RS, GB, DE
- Work mode
- Remote-friendly
- First seen by hirly
- 7 Nov 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
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
Listed on hirly, a job board. hirly is not the employer: Perplexity is hiring for this role.
Browse similar roles
Want this one?
Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.
Tailor my resume for this job