Before the detail, here's the challenge you'd help us solve.

We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.

Here’s what this particular role covers.

🛠️ About our Engineering Teams

The Search & Indexing team, part of Compute and Data Platform (AI Platform), makes Wayve's multimodal driving data discoverable. We build the indexing infrastructure behind vector and metadata-based retrieval, powering data curation, training set construction and ML research. You'd be the first hire in the team, in our Sunnyvale office.

🧠 Your day-to-day

You'll design, build and operate the search and indexing platform for hundreds of thousands of hours of video and sensor data, with the system scaling beyond 10B vectors. You'll work with the Technical Lead on architecture, own complex components from design through production, and help decide what to build versus buy. Expect to move fast: use off-the-shelf tools and ship an MVP in months, not quarters. You'll work with ML, Data, Evaluation and Platform teams, and support other engineers through code reviews and mentoring.

🧩 What you'll be working on

Production search and indexing systems at billion-vector scale

Ingestion and indexing pipelines across video, sensor data, embeddings and metadata

Backend services and APIs for vector similarity, semantic retrieval and metadata-filtered search

Evaluating and integrating embedding models, vector databases, ANN libraries and external vendors

Evaluation frameworks measuring retrieval quality, recall, relevance, filtering accuracy, latency, freshness, scalability and cost

Integrating search into training-set construction, data curation and research workflows

👋 You should apply if

You have 7+ years in backend, infrastructure or ML systems, building production systems

You have hands-on experience with vector databases or ANN technologies such as FAISS, LanceDB or similar

You understand multimodal embeddings and have evaluated search quality across relevance, recall, filtering accuracy and performance

You code strongly in Python or another systems language

You have built search services, APIs, and large-scale ingestion and indexing pipelines

You have delivered 0→1 systems in ambiguous problem spaces

You are comfortable working across infra, ML and data curation

Nice to have:

Large-scale ML pipelines or distributed data infrastructure

Multimodal data, including video, images, sensor data and metadata

Active learning, semantic retrieval or training-data selection workflows

Autonomy, robotics or large-scale data infrastructure

Evaluating technical vendors and working with external providers

🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.

More about Wayve

🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.

Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.