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About us 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,…
Lead a new SRE team to harden Wayve’s AI-driven vehicle software, defining reliability standards, observability, and incident response for a globally distributed autonomous fleet.
Leads development of AI-driven emergency trajectory models for autonomous vehicles, focusing on evasive maneuvers and collision avoidance. Combines ML research, system integration, and safety validation to deploy high-consequence models in production.
Product Designer shaping digital in-vehicle experiences for Wayve's autonomous vehicle fleet, including operator tools and guest-facing interfaces for ADAS technology.
Wayve is seeking a Machine Learning Engineer to develop efficient, interactive generative world models for autonomous driving simulation. You will focus on optimizing model performance and inference latency to enable closed-loop training and evaluation of driving systems.
The Machine Learning Engineer will build and scale generative world models to create synthetic data for autonomous driving systems. This role involves collaborating with researchers to post-train models, manage large-scale GPU inference pipelines, and integrate synthetic data into the training stack for driving models.
The Staff Machine Learning Engineer (Ops) will oversee the end-to-end model development and release lifecycle for autonomous driving AI. This role involves optimizing ML delivery pipelines, enforcing quality gates, and collaborating with platform and CI/CD teams to ensure robust model deployment.
SRE for autonomous vehicle software, building observability, incident management, and automation tooling using Python, C++, or Rust with hands-on Linux systems debugging to improve vehicle reliability in production.
A principal-level safety expert who owns the architecture, strategy, and integrity of Wayve's safety cases for its robotaxi and OEM ADAS products. Day to day they define top-level safety claims, arguments, and evidence across functional safety, SOTIF, AI safety, and deployment monitoring, while independently challenging engineering and product teams. Core standards: ISO 26262, ISO 21448, ISO/PAS 8
Lead validation of L2+ autonomous driving features, designing test strategies, building metrics, and analyzing results using Python and simulation tools, while collaborating with product, safety, and engineering teams.
Senior ML Engineer building and operating large‑scale search and indexing systems for Wayve’s multimodal video data, developing vector‑based retrieval, APIs, and evaluation pipelines using Python and tools like FAISS/LanceDB.
Software engineer on Wayve's Core Simulation team building the C++/Python simulation system used to evaluate and improve the company's autonomous driving AI. Day to day: developing production simulator components, integrating driving-stack and vehicle systems, debugging sim-vs-road differences, and improving performance, reproducibility and tooling.
Builds and leads the technical program management function for Wayve's AI Platform — the data/compute infrastructure, ML workflow tooling, training tech, compute management, and embedded/inference optimisation behind its autonomous driving models. Leads flagship programs, coaches a small TPM team, and partners with engineering leadership. London-based, hybrid.
Wayve, an autonomous driving AI company, is hiring a Lead Technical Program Manager for Quality & Compliance in London. This person builds and leads a small TPM team rolling out company-wide quality (including ASPICE), security, data privacy, and operational safety programs, designing lightweight, low-overhead processes across the organisation.
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