Search Rust Engineer

Search Rust Engineer

Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Architect and optimise ultra-low-latency search infrastructure using Rust.
  • Company: Join Perplexity AI, a leader in AI-powered search innovation.
  • Benefits: Full-time role with competitive salary and growth opportunities.
  • Why this job: Make a real impact on cutting-edge search technology and performance.
  • Qualifications: Expertise in Rust and experience with high-load distributed services.
  • Other info: Fast-paced environment with mentorship and career advancement.

The predicted salary is between 48000 - 72000 £ per year.

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

Search Rust Engineer employer: Perplexity

Perplexity AI is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London, Belgrade, or Berlin. With a strong focus on employee growth, we provide opportunities for continuous learning and mentorship, ensuring that our team members thrive in their careers while contributing to cutting-edge AI-powered search solutions. Join us to be part of a forward-thinking company that values performance, creativity, and the pursuit of excellence.
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Contact Detail:

Perplexity Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Search Rust Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your Rust projects, especially those related to search systems. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨Tip Number 3

Prepare for technical interviews by brushing up on your Rust knowledge and system design principles. Practice coding challenges and be ready to discuss your past experiences with low-latency systems.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Perplexity.

We think you need these skills to ace Search Rust Engineer

Rust Programming
Backend Development
Low-Latency Systems
Performance Tuning
Distributed Systems
Systems Design
Linux Internals
Cloud Infrastructure (AWS)
Container Orchestration
Concurrency Patterns
Memory Management
Network Programming
Debugging Skills
Performance Benchmarking
Instrumentation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your Rust programming skills and experience with low-latency systems. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI-powered search and how your expertise can help us optimise performance. Keep it engaging and personal – we love to see your personality!

Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's a GitHub repo or a personal project, we want to see your hands-on experience with Rust and distributed systems.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at Perplexity

✨Know Your Rust Inside Out

Make sure you brush up on your Rust programming skills, especially in the context of backend and search systems. Be ready to discuss specific projects where you've optimised performance or tackled low-latency challenges.

✨Showcase Your Problem-Solving Skills

Prepare to share examples of how you've profiled and tuned high-load services. Think about scenarios where you had to debug complex issues under pressure and be ready to explain your thought process.

✨Understand Systems Design

Familiarise yourself with systems design principles, particularly in relation to distributed backend components. Be prepared to discuss how you would architect a scalable search infrastructure and the trade-offs involved.

✨Demonstrate Your Passion for Performance

Express your enthusiasm for benchmarking and continuous performance improvement. Share any personal projects or contributions to open-source that highlight your commitment to optimising search experiences.

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