Wayve

About the Company

We're Wayve, a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the benefits of AV technology at scale.

Founded in 2017, Wayve is made up of a diverse team of experts in machine learning and robotics. We were the first to deploy AVs on public roads with end-to-end deep learning. Today, our teams are based in London and California, and we're testing AVs in cities across the UK.

Inspired by our vision for a smarter, safer, more sustainable world, we're looking for people who are passionate about building breakthrough solutions to some of the world’s most important challenges. If you're looking for an exciting opportunity with a dynamic team, get in touch!

Listed Jobs

Company Name

Wayve

Job Title

Technical Program Manager, Software

Job Description

**Job title** Technical Program Manager, Software **Role Summary** Lead end‑to‑end planning and execution of software programs for a high‑impact autonomous driving product, coordinating multi‑disciplinary engineering teams, and ensuring on‑time, on‑budget delivery with high quality standards. **Expectations** - Champion delivery excellence across the organization, embedding best practices and a continuous‑improvement mindset. - Drive cross‑functional collaboration, risk mitigation, and stakeholder communication. - Coach peers to adopt a delivery‑focused culture. **Key Responsibilities** - Define program scope, success criteria, and detailed project plans, capturing dependencies, risks, and mitigation. - Own the end‑to‑end schedule, monitor milestones, and report progress to senior leadership. - Coordinate engineering infrastructure, hardware integration, embodied AI feature development, and validation workflows. - Facilitate program reviews, address issues, and implement lessons learned to improve future execution. **Required Skills** - Proven experience as a Technical Program Manager or equivalent in a fast‑moving tech environment. - Strong technical foundation in software and systems engineering, with rapid learning capability for new domains. - Deep knowledge of software development lifecycles and agile/iterative methods. - Excellent project management: prioritisation, resource allocation, risk and issue resolution. - Superior communication and interpersonal skills for building relationships with technical and non‑technical stakeholders. - Coaching and people‑enabling mindset, bias for action. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred). - Certified Project Management Professional (PMP) or equivalent (e.g., Prince2, SAFe Agilist) highly desirable.

London, United kingdom

On site

29-10-2025

Company Name

Wayve

Job Title

Machine Learning Engineer, Controllable GAIA

Job Description

**Job Title** Machine Learning Engineer, Controllable GAIA **Role Summary** Senior Applied Scientist responsible for designing, implementing, and deploying next‑generation controllable generative world models (GAIA) to enable high‑fidelity simulation for autonomous driving. Works at the intersection of generative modeling, simulation, and reinforcement learning to produce real‑time, physics‑aware rollouts that support training, testing, and on‑vehicle deployment. **Expectations** - Deliver production‑grade, scalable generative models that support thousands of real‑time rollouts per second. - Define and evaluate metrics for long‑horizon coherency, physics fidelity, and planner integration. - Mentor junior researchers and influence technical roadmap; publish research findings. **Key Responsibilities** - Invent and architect diffusion, transformer, or hybrid generative world models with controllable agents. - Enable agents to interact with the simulation for reinforcement learning, planning, and safety assessment. - Run ablations, scaling studies, and compute‑efficiency analyses to inform trade‑offs. - Integrate models into fleet‑scale training pipelines, sim‑to‑real evaluation, and on‑vehicle deployment. - Guide and coach junior team members, shape research direction, and represent the organization at conferences. **Required Skills** - Deep expertise in generative video and world‑model research (diffusion, latent‑video models). - Experience with high‑dimensional spatiotemporal data (video, multi‑sensor fusion). - Strong Python and PyTorch engineering fundamentals; ability to build research‑grade production tools. - Proven publication record or contributions to open‑source ML tooling. - Collaborative mindset and ability to thrive in interdisciplinary, fast‑paced teams. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field (PhD strongly preferred). - Relevant technical certifications (e.g., Deep Learning Specialization) are a plus.

London, United kingdom

On site

29-10-2025

Company Name

Wayve

Job Title

Senior Fullstack Software Engineer, Onboard Experience

Job Description

**Job Title:** Senior Fullstack Software Engineer, Onboard Experience **Role Summary:** Design, develop, and maintain end‑to‑end systems that connect vehicle hardware, backend services, and user interfaces for autonomous vehicle operations. Own full‑stack components, collaborate across disciplines, and ensure reliable, scalable performance in real‑world deployments. **Expectations:** - Deliver high‑quality, maintainable code on schedule. - Make informed trade‑offs between performance, maintainability, and velocity. - Champion observability, testing, and documentation standards. - Communicate technical concepts clearly to cross‑functional partners. **Key Responsibilities:** 1. Own system design and delivery for onboard experience solutions. 2. Develop frontend features using React/TypeScript and backend services in Rust. 3. Establish metrics, logging, and testing to meet reliability goals. 4. Collaborate with operators, designers, and engineers to translate user needs into technical solutions. 5. Uphold code quality, architecture, and documentation standards; contribute to engineering best practices. **Required Skills:** - Frontend: Proficient with modern browsers, React or Angular, TypeScript. - Backend: Experienced in Linux environments, Rust or C++. - End‑to‑end system ownership: Architecture, testing, deployment, monitoring. - Problem solving under evolving requirements. - Strong collaboration and communication abilities. - User‑centric mindset focused on real‑world impact. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent practical experience.

London, United kingdom

On site

Senior

30-10-2025

Company Name

Wayve

Job Title

Engineering Manager, ML Compiler

Job Description

Job Title: Engineering Manager – ML Compiler Role Summary: Leads a team of 3–10 ML compiler engineers to design, build, and deploy efficient compiler pipelines for transformer-based driving models on low‑power embedded SoCs, driving product readiness for autonomous vehicles. Expactations: - Manage a small engineering team, set clear objectives, and ensure timely delivery of milestones. - Define and maintain the technical roadmap in collaboration with technology leads. - Foster cross‑functional collaboration with model developers, kernel engineers, and software teams. - Champion continuous improvement of compiler performance and resource utilization. Key Responsibilities: - Break large projects into actionable tasks and oversee progress across the team. - Guide roadmap creation, prioritization, and execution of compiler features and optimizations. - Mentor engineers, facilitating skill growth and career progression. - Interface with stakeholders to align compiler solutions with product and hardware constraints. - Resolve technical challenges related to latency, compute, and memory on edge devices. Required Skills: - Minimum 2 years of engineering management experience in a relevant domain (3–10 engineers). - Proven expertise in ML compiler or inference technologies such as MLIR, ONNX, TensorRT, or QNN. - Strong software engineering foundation with proficiency in Python and C++. - Excellent communication, leadership, and stakeholder‑management skills. - Ability to translate performance constraints into actionable compiler optimizations. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.

London, United kingdom

On site

02-11-2025