Jobs
Required Skills
C++
Python
Algorithms
Data Structures
Multithreading
Distributed Systems
Real-time Systems
Perplexity is looking for a highly skilled Senior or Expert C++ Developer 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:
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Develop new types of search index storage, including streaming and batch data processing systems in a high-load environment capable of handling billions of pages
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Build new core search components, including algorithms for efficient retrieval and ranking
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Push the limits of hardware performance
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Tackle challenges in multithreading, concurrency, and system-level optimization
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Optimize subsystems for reliable and consistent data replication within the core search stack
Qualifications:
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5+ years of hands-on experience in C++ development
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Knowledge of Python or other scripting languages
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Passion for writing clean, efficient, and scalable C++ code
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Strong knowledge of algorithms and data structures, and the ability to apply them effectively
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Deep understanding of multithreading, including various approaches, challenges, and trade-offs
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Experience building high-load, distributed, and hardware-adjacent services
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Expertise in real-time systems development
Preferred Qualifications:
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Experience developing core components of search engines, trading systems, or database systems
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Familiarity with cloud services, Kubernetes (k8s), and AWS infrastructure
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About Perplexity AI

Perplexity AI
Series BPerplexity AI, Inc., or simply Perplexity, is an American privately held software company offering a web search engine that processes user queries and synthesizes responses.
51-200
Employees
San Francisco
Headquarters
$1B
Valuation
Reviews
4.0
1 reviews
Work Life Balance
3.0
Compensation
3.0
Culture
3.0
Career
3.5
Management
3.0
70%
Recommend to a Friend
Pros
Helpful tool for research and analysis
Useful for job application preparation
Effective for complex marketing challenges
Cons
Limited feedback provided
No specific criticisms mentioned
Insufficient detail on potential drawbacks
Salary Ranges
28 data points
Junior/L3
Junior/L3 · LLM Teacher
1 reports
$101,920
total / year
Base
$78,400
Stock
-
Bonus
-
$101,920
$101,920
Interview Experience
1 interviews
Difficulty
4.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 0%
Negative 100%
Interview Process
1
Application Review
2
HR Screen
3
Take-home Marketing Challenge
4
Hiring Manager Interview
5
Panel Interview
6
Offer
Common Questions
Digital Marketing Strategy
Campaign Performance Analysis
Behavioral/STAR
Technical Marketing Knowledge
Case Study
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