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Lead a new Application Engineering team to develop and deploy autonomous driving features for the US market, overseeing robotics, machine learning, and systems integration while hiring, mentoring, and collaborating with OEM partners.
Lead a Japan-based team to localize and develop autonomous driving features, overseeing robotics, machine learning, and systems integration while collaborating with OEMs and global engineering teams.
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 the bring‑up and validation of Wayve’s AI software stack on automotive hardware in Tokyo, handling Linux/QNX/Adaptive AUTOSAR ports, driver integration, CI/CD pipelines, and hardware diagnostics using C/C++, Bash and Python.
Lead the design, architecture, and reliability of Wayve's robot software stack for autonomous vehicles, defining technical roadmaps, mentoring engineers, and collaborating across hardware, simulation, and data teams using C++, Python, ROS2 and real‑time systems.
This founding Cloud SRE role involves building and scaling the reliability foundations for Wayve's AI model development and GPU compute platforms. The engineer will define operational standards, manage incident response, and automate infrastructure to support large-scale autonomous driving AI workloads.
The Senior Data Scientist partners with AI engineering teams to build large datasets, design experiments, and generate statistical insights that guide the development, safety, and performance of Wayve’s autonomous‑driving AI, using production‑level SQL and Python/R data‑science tools.
Senior platform engineer who owns the cloud infrastructure, CI/CD, RBAC/IAM and developer tooling behind Wayve's Portal platform, which handles data exchange and AI insights for automotive OEM partners. Hands-on work with Azure, Terraform and Kubernetes, plus on-call support and security hardening, based in London on a hybrid policy.
Senior Software Engineer on Wayve’s Simulation Technology team, building and scaling the core simulation platform for autonomous driving using Python, Kubernetes, and workflow orchestration tools, focusing on robot emulator fidelity, visual fidelity, and performance.
As a founding Staff SRE, you will build and scale the reliability foundations for Wayve's AI model development and GPU compute infrastructure. You will define operational standards, manage large-scale Kubernetes clusters, and ensure the performance of distributed systems supporting autonomous driving technology.
The Staff Data Scientist partners with AI engineering teams to analyze large driving datasets, design experiments, and create performance metrics that guide improvements to Wayve’s autonomous‑driving AI, using production‑level SQL and Python/R statistical tools.
The Staff Machine Learning Engineer will lead the development of safety-critical, end-to-end driving models for autonomous vehicles using large-scale data and transformer-based architectures. This role involves setting technical strategy, conducting research, and collaborating across teams to improve model robustness and performance in real-world driving scenarios.
The Supply Chain Program Manager leads end‑to‑end supply chain execution for vehicle prototypes and new product introductions, coordinating across engineering, operations, manufacturing and external partners, using BOM, material planning and compliance frameworks.
Analyzes operational design domains (ODDs) and traffic behaviors to define data needs for autonomous driving AI models, ensuring high reliability and cross-region generalization. Uses Python, SQL, and GIS to assess ODD boundaries, behavioral competencies, and MTBF performance gaps.
The Systems Engineer, AI Validation creates and runs validation strategies for Wayve’s AI Driver, designing metrics, building test suites, and analyzing results across simulation and real‑world driving, primarily using Python.
Build and maintain automated hardware-in-the-loop tests for Wayve’s self-driving software stack, covering embedded systems, ADAS, and AI models to ensure safety and reliability.
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