Member of Technical Staff (Rust Engineer, Search)
Joblaze summary
In this role, the Search Rust Engineer at Perplexity focuses on optimizing the performance of AI-driven search systems, ensuring ultra-low latency and high reliability. Key skills include deep expertise in Rust, experience with distributed services, and a solid grasp of systems design and performance debugging. This position is ideal for someone with a strong background in backend development and a passion for enhancing search efficiency in a fast-paced environment. Perplexity's emphasis on innovation suggests a dynamic team atmosphere where collaboration is essential.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Perplexity's career page.
- Perplexity has 59 other open roles including Customer Success & Enterprise Support Lead, APAC , Sales Systems Engineer, Enterprise Operations, Scaled Enterprise Customer Success Manager.
- 1579 active AI/ML roles on Joblaze right now.
- 242 active Rust roles on Joblaze right now.
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Rust.
- What seniority level is this role?
- Perplexity targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Member of Technical Staff (Rust Engineer, Search) role at Perplexity.
From the original posting
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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