Principal Engineer – AI Search & Vector Infrastructure

Posted 2 Days Ago
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7 Locations
Remote
Expert/Leader
Cloud • Software
The world's fastest data platform.
The Role
The Principal Engineer will define architecture and strategy for Redis capabilities in AI, design scalable systems for vector search, lead complex initiatives, and mentor engineers.
Summary Generated by Built In

Who we are

We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in?

This is a unique opportunity to shape Redis capabilities for the AI era early in the cycle.
We are looking for a highly experienced Principal Engineer to join the core Redis Search/AI organization and help define the architecture, technical strategy, and next-generation capabilities powering AI workloads at global scale.
In this role, you will work on some of the hardest problems in modern AI infrastructure, including vector indexing, hybrid retrieval, distributed query execution, latency-critical serving, and large-scale system design. You will influence the direction of the platform across teams and play a key role in turning advanced research and emerging industry trends into production-ready capabilities used by millions of developers worldwide.
What you’ll do

  • Drive the architecture and technical direction of Redis Search and Vector capabilities

  • Design scalable and high-performance systems for vector search, retrieval, indexing, ranking, and AI serving workloads

  • Lead complex cross-team initiatives spanning Redis Core, Cloud, AI, and infrastructure teams

  • Partner with engineering and product leadership to define long-term strategy and roadmap

  • Translate emerging industry trends and customer needs into platform capabilities and technical investments

  • Lead technical design reviews and establish engineering best practices across the organization

  • Solve deep performance and scalability challenges in distributed and storage systems

  • Guide implementation of hardware-aware optimizations (e.g., SIMD, GPU, SSD, CUDA)

  • Mentor senior engineers and help raise the technical bar across the engineering organization

  • Represent Redis externally through design discussions, open source engagement, technical talks, or community leadership

What you’ll need to have

  • Extensive experience designing and building large-scale distributed systems, databases, search engines, storage engines, or AI infrastructure platforms

  • Strong industry background with experience at leading infrastructure, database, cloud, search, or AI-focused technology companies

  • Proven track record leading architecture and delivering highly scalable production systems

  • Deep expertise in one or more of the following areas:

    • Vector search and information retrieval

    • Distributed systems

    • Storage engines and indexing

    • High-performance systems and low-latency serving

  • Strong proficiency in C/C++ or Rust, including concurrency, memory management, and performance optimization

  • Ability to influence technical direction across multiple teams and organizations

  • Excellent communication skills and ability to collaborate effectively with engineering, product, research, and leadership teams

  • Bachelor’s or Master’s degree in Computer Science or equivalent practical experience

Extra great if you have

  • Experience building AI infrastructure or retrieval systems for large-scale production environments

  • Familiarity with Redis internals or NoSQL database architectures

  • Experience with open-source leadership or significant community contributions

  • Background in high-performance multithreaded systems

  • Experience optimizing systems using modern hardware acceleration technologies

  • Experience mentoring senior technical leaders and scaling engineering organizations

As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected.

Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to [email protected]. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws.

Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.

Skills Required

  • Extensive experience designing and building large-scale distributed systems
  • Strong background in leading infrastructure or AI-focused companies
  • Proficiency in C/C++ or Rust with a focus on performance optimization
  • Bachelor's or Master's degree in Computer Science or equivalent
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The Company
HQ: Mountain View, CA
1,345 Employees
Year Founded: 2011

What We Do

Redis is the world's fastest data platform. We provide cloud and on-prem solutions for caching, vector search, and more that seamlessly fit into any tech stack. With fast setup and fast support, we make it simple for digital customers to build, scale, and deploy the fast apps our world runs on.

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