Full Stack Software Engineer (Evaluation Tools)

• 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

• Make natural language scenario search reliable and self-service, so finding test data no longer depends on scarce SQL and mining expertise

• Take scenario mining from proof-of-concept to production scale, unlocking certification-grade test creation for teams like Validation

• Extend the evaluation MCP so agents can run search-to-test workflows end to end

• Build trust in search and mining results, so teams can make fast, confident decisions grounded in clear evidence

• 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

Benefits

• Private healthcare: Choose our optional health insurance for comprehensive coverage for you and your family.

• Paid time off: Paid vacation plus public holidays and additional leave programs, ensuring you have time to unwind.

• Mental health resources: Through Spill, you can access therapy and mental health support.

• Community and socials: Join clubs or attend team socials to connect over hobbies, sports, or just for fun.

• Competitive compensation: Our compensation package includes cash and equity, making you a true partner in our success.

• Learning and development: Budgets for books, courses, and company-wide training to support your continuous growth.- Excellent communication and collaboration skills, including working effectively across time zones

• Comfortable working independently in a fast-paced, high-context, ambiguous environment

• Experience designing and building production-level fullstack systems and reliable, high-performance APIs

• Strong development skills in Python, TypeScript, and JavaScript, with experience using React or similar front-end frameworks

• Track record of building robust, maintainable systems and applying engineering best practices

• Strong SQL skills with a solid understanding of database design and optimisation

• You are a power user of AI development tools and have a mindset for building AI-augmented workflows

• We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply

• Experience with the Databricks platform, and large-scale data processing with Spark or similar

• Experience with search, embeddings or retrieval systems

• 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