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JobsPerplexity AI

Search Rust Engineer

Perplexity AI

Search Rust Engineer

Perplexity AI

Belgrade

·

On-site

·

Full-time

·

1w ago

Required Skills

Rust

Systems Design

Linux

Performance Optimization

Distributed Systems

Perplexity AI is seeking a talented Search Rust Engineer to join our rapidly growing team, driving innovation in AI-powered search experiences. As a Search Rust Engineer, your main mission will be to relentlessly optimize performance - squeezing every millisecond of latency from our search stack, while implementing robust, scalable, and reliable systems.

Responsibilities:

  • Architect, build, and optimize ultra-low-latency search infrastructure using Rust

  • Profile and instrument services, continuously driving down response times at scale

  • Develop and maintain distributed backend components powering real-time search and retrieval

  • Collaborate closely with product and infrastructure teams to design systems that deliver best-in-class query performance

  • Apply advanced concurrency, memory management, and network programming patterns for maximum throughput

  • Monitor, debug, and tune production workloads to ensure reliability under demanding traffic

  • Contribute to code reviews and mentor peers in high-efficiency Rust development

Requirements:

  • Deep expertise in Rust programming, especially for backend/search systems

  • Experience profiling and tuning high-load, low-latency distributed services

  • Strong understanding of systems design, Linux internals, and performance debugging

  • Background in cloud infrastructure - preferably AWS - and container orchestration

  • Track record of driving efficiency for search or data-intensive products

  • Ability to thrive in fast-paced environments and own critical product code

  • Passion for benchmarking, instrumentation, and continuous performance improvement

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About Perplexity AI

Perplexity AI

Perplexity 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