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Senior ML engineer optimizes PyTorch models for edge deployment, iterating from training to production-ready releases under tight latency and memory constraints for autonomous-vehicle systems.
Principal Engineer defining the embedded software architecture for Wayve’s autonomous-vehicle AI platform, integrating NVIDIA/Qualcomm compute with OS, middleware, and safety-critical code in C/C++.
Design and implement embedded security controls for autonomous vehicle software, including firmware and Linux systems, while collaborating with teams to ensure robust, hardware-agnostic security across fleets.
Build and maintain C++ software for autonomous-vehicle sensor systems, integrating cameras, LiDAR, and radar to stream data and run edge ML inference across a large fleet of cars.
Own and lead a key AI Driver work package for Wayve’s autonomous-vehicle software, coordinating engineers, researchers, and PMs to ship AI-powered driving features from strategy to delivery.
Own end-to-end supply chain for Wayve’s autonomous-vehicle programmes, coordinating suppliers, logistics, and cross-functional teams to meet hardware build and launch timelines.
Build and maintain security analytics pipelines and dashboards to automate evidence collection and measure control effectiveness for Wayve’s AI-driven autonomous vehicle platform.
Build and refine computer vision models to measure autonomous driving performance offline, adapting foundation models for scene understanding and benchmarking accuracy across conditions.
Lead a team building offline scene-understanding models for autonomous vehicles, turning on-vehicle models into robust validation systems that predict counterfactual outcomes and assess AV2.0 driver behavior.
Build full-stack tools for AI-driven autonomous vehicle evaluation, enabling scenario search, mining, and agentic workflows to test and debug driving models at scale.
The Technical Product Manager will own the roadmap for Wayve's development and experimentation vehicle platforms, bridging the gap between hardware, software, and operations. This role involves defining platform requirements and KPIs to accelerate the development of Embodied AI for autonomous driving.
Build full-stack tools and services for managing Wayve’s global fleet of autonomous vehicles, including health tracking, software management, and location services.
Full-stack engineer building and operating web applications and scalable backend services for Wayve's Model Development Platform, supporting autonomous driving model workflows using React, TypeScript, Python, and related frameworks.
The Senior Software Engineer will build and maintain a mission-critical Data Transfer Hub to handle petabytes of sensor data for autonomous vehicle AI training. The role involves designing distributed data pipelines using Python, Terraform, and Azure to facilitate global data exchange with partners.
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.
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.
Senior Software Engineer building the data flywheel platform that turns world-scale fleet data into training data and powers foundation-model training/evaluation at Wayve, using Python, distributed data processing (Ray, Spark/Databricks), and workflow orchestration.
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