Full Stack Software Engineer, Evaluation Tools

Wayve•Sunnyvale, CA

21h•Hybrid

About The Position

The Evaluation Tools group builds the internal products that accelerate the full AI Driver development loop, from defining a test to debugging model behaviour. Model developers, researchers and QA engineers across Wayve depend on our tools to understand driving performance and scale evaluation to millions of scenarios, and every major model release runs through them. You'll join the Search & Agents squad in Sunnyvale. We build the search, scenario mining and agentic tooling that lets anyone find the right driving scenarios and turn them into tests without writing SQL. Our work is the entry point to a fully agentic development loop: identify an issue → mine for scenarios → build and run a test suite → root-cause the failure → retrain → repeat. You'll work across the stack and own features end-to-end: talking to users, shaping ideas, building robust software, and validating impact. Evaluation is an evolving challenge, so you'll also have plenty of opportunity to define new projects as user needs emerge.

Requirements

Strong development skills in Python, TypeScript, and JavaScript, with experience using React or similar front-end frameworks
Strong SQL skills with a solid understanding of database design and optimisation
Experience designing and building production-level fullstack systems and reliable, high-performance APIs
Track record of building robust, maintainable systems and applying engineering best practices
Excellent communication and collaboration skills, including working effectively across time zones
Comfortable working independently in a fast-paced, high-context, ambiguous environment
You are a power user of AI development tools and have a mindset for building AI-augmented workflows

Nice To Haves

Experience with search, embeddings or retrieval systems
Experience with the Databricks platform, and large-scale data processing with Spark or similar
Experience with job orchestration frameworks such as Flyte
Experience building agentic or LLM-powered developer tools (e.g. MCP servers)
Experience building tools for technical users (ML, robotics, infrastructure)
Experience with scientific data visualisation or complex data interfaces

Responsibilities

Build fullstack features across search, scenario mining, agentic tooling, and the web applications our users work in to curate scenarios and build test suites
Work directly with users to understand pain points, then define and measure what success looks like (adoption, time saved, reliability) before you build
Ship high-quality software with strong attention to reliability, performance and maintainability
Contribute to architectural decisions that scale across the team’s products
Use AI tools to improve how we build, from speeding up development to refining team workflows and product quality