Software Engineer II - Builder Experience - Platform Engineering Productivity
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Build infrastructure enabling safe, cost-effective access to language models and AI agents across the company. Design and operate platforms for model access, agentic workflows, and observability while implementing governance and safety controls. Requires 3+ years software engineering experience, strong system-design fundamentals, hands-on Kubernetes and infrastructure-as-code expertise, and familiarity with LLM APIs and agent frameworks. Based in London (office location not specified as remote or on-site in posting).
Written from this posting by Neural Jobs AI. The full description is below.
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
As a Platform Engineer on Wayve’s AI Enablement team, you’ll build the infrastructure that gives people across the company safe, reliable, and cost-effective access to language models and AI agents.
You’ll help create a governed model-access layer and a secure production environment for agentic workflows, with safety, observability, and operational excellence built in from the start. Your work will span the full lifecycle—from defining problems and designing systems to implementation, deployment, and ongoing operation.
Working closely with Security, IT, and engineering teams, you’ll deliver platform capabilities that scale with the pace of AI adoption at Wayve. You’ll also support teams building agentic workflows, turning successful approaches into reusable patterns and helping colleagues understand what’s possible with the platform.
This is an opportunity to join an early platform team and shape how an AI company puts AI tools to work responsibly. Your technical decisions will influence infrastructure used across Wayve, giving you ownership, visibility, and impact beyond a typical infrastructure role.
You’re a hands-on engineer who enjoys building reliable platforms for other teams. You’re comfortable navigating ambiguity, taking ownership across the full delivery lifecycle, and collaborating with technical and non-technical partners. You combine strong engineering fundamentals with curiosity about the fast-evolving AI tooling ecosystem.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
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.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
For US candidates only, please visit E-Verify Notice and Participation and Right to Work
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
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Wayve develops embodied AI for self-driving, training end-to-end neural networks to drive from camera input rather than relying on hand-written rules and HD maps.
Founded in Cambridge in 2017 and now headquartered in London, the company works with vehicle manufacturers to bring learned driving systems to production fleets.
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