Currently tracking 44 active AI roles, down 27% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $204k–$580k (avg $337k).
Wayve currently has 8 active AI-related roles in our index. The most common open titles are: Machine Learning Engineer, Machine Learning Engineer, App SW, Machine Learning Manager, App SW, Principal Engineer, Data & Compute, Register your interest for Wayve in Germany. Most positions are in Engineering and Product.
Wayve's active AI hiring is concentrated in: application (63%), data (25%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Wayve is hiring AI talent in: United States (4 roles), United Kingdom (2 roles), Japan (2 roles), Germany (2 roles).
Job postings at Wayve most frequently mention: Machine Learning, Performance Optimization, Autonomous Driving, System Design, Simulation.
In the past 30 days, Wayve has posted 1 new AI-related role.
Wayve currently has 52 active AI-related job listings. The majority of these roles, 44%, are in the application stage, with another 23% focused on data. Engineering is the most frequent function, and the United States and the United Kingdom are the top hiring countries. Frequent tech tags include embodied_ai, model_serving, and evals, suggesting a focus on deploying and evaluating AI models for real-world applications. Over the last 30 days, Wayve posted 10 new AI roles, a 37% decrease compared to the previous 30-day period.
| Title | Stage | AI score |
|---|---|---|
| Principal Engineer, Data & Compute Principal Engineer, Data & Compute at Wayve, a company developing Embodied AI for autonomous driving. This role focuses on designing and evolving the foundational compute and storage systems for large-scale AI model development, including training and inference workloads across thousands of GPUs and petabyte-scale data federation. The position requires deep expertise in distributed systems, GPU infrastructure, and petabyte-scale data architecture, with a focus on enabling AI research and rapid model deployment in a hybrid/multi-cloud environment. | ServeData | 9 |
| Engineering Internship, Enrichment and Curation Engineering Intern to work on foundation models for embodied AI, including large-scale pretraining, post-training, leveraging language, or improving reasoning capabilities. This involves training models on large-scale multimodal data and curating large multimodal datasets for training and evaluation. |
| Post-trainData |
| 9 |
| Machine Learning Engineer, App SW Machine Learning Engineer at Wayve, focused on developing and deploying end-to-end driving models for autonomous vehicles. The role involves improving model performance, leading projects on personalized driving, building evaluation pipelines, curating data, and influencing training and deployment strategies. Requires extensive experience shipping deep learning systems to production and expertise in sequential models, control, planning, or perception. | ShipData | 9 |
| Staff ML Performance Engineer (Training Efficiency) Staff ML Performance Engineer focused on optimizing large-scale ML training and inference workloads for Embodied AI technology in autonomous driving systems. The role involves profiling ML jobs, designing and implementing efficiency improvements (parallelism, model compilation, mixed precision), developing observability tools, and creating benchmarking tools to track performance gains. Collaboration with Research teams is key to integrate efficiency improvements and foster a performance optimization culture. | DataServe | 9 |
| Tech Lead, Wayve Labs The role focuses on designing and training large-scale embodied foundation models for autonomous driving, developing world models and planners, innovating in reinforcement learning and reward modeling, and conducting empirical research on scaling laws and generalization. It involves working at the intersection of machine learning, simulation, robotics, and real-world deployment. | Post-trainAgent | 9 |
| Technical Product Manager - Robotaxi Product Manager for L4 autonomous driving solutions, focusing on defining, developing, and delivering AI-powered features for vehicles. This role bridges cutting-edge embodied AI and end-to-end learning with market-ready products, emphasizing customer experience and human interaction with AI in the context of robotaxis. | ShipAgent | 8 |
| Technical Director, Embedded Vehicle Software Technical Director, Embedded Software Architecture role at Wayve, focusing on defining and leading the architecture of the vehicle software platform that powers AI systems for autonomous driving. Requires deep expertise in embedded systems, C/C++, system performance, and leading technical teams. The role involves close collaboration with AI, platform, and vehicle systems teams, as well as external partners like NVIDIA and Qualcomm. | ShipServe | 7 |
| Software Engineer - Sensor Systems, Robot Software Software Engineer role focused on building and delivering high-quality, reliable C++ software for edge devices on a fleet of autonomous vehicles. Responsibilities include sensor integration, data capture, real-time system management, fault tolerance, diagnostics, and performance monitoring. The role involves close collaboration with Embodied AI and Science teams to support model training and experimentation, and requires ensuring software runs reliably at scale with limited connectivity. Experience with embedded Linux, automotive sensors, IPC middleware, and distributed systems is essential. | ServeAgent | 5 |
| Software Integration Engineer (6 months Contract) Software Integration Engineer (Contract) at Wayve, focused on integrating and validating Wayve's AI software stack for autonomous driving on customer hardware platforms. Responsibilities include software bring-up, porting systems, integrating drivers, and developing automation for hardware integration into CI/CD and test infrastructure, collaborating with cross-functional teams and OEM partners. | — | 5 |
| Release Manager Release Manager at Wayve, an Embodied AI technology company focused on autonomous driving. The role involves owning release cycles, managing issues and changes, identifying and improving release process bottlenecks, influencing tooling and automation, and collaborating cross-functionally to ensure reliable and timely software releases for fleet operations and product development. Requires strong understanding of SDLC, release management practices, CI/CD, and multi-platform releases. | — | 0 |
| Application Software Engineer - Embedded Software C++ Wayve is seeking an Application Software Engineer to join their Application Engineering organization, focusing on localizing and advancing Wayve's autonomous driving technology for the US market. This role involves the bring-up and early validation of their AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. The engineer will collaborate with cross-functional teams and OEM partners to ensure smooth integration and reliable delivery. | — | 0 |
| Release Manager Release Manager at Wayve, an Embodied AI technology company focused on autonomous driving. The role involves owning release cycles, managing issues and changes, identifying and improving release process bottlenecks, influencing tooling and automation, and collaborating cross-functionally to ensure reliable and timely software releases for fleet operations and product development. Requires strong understanding of SDLC, release management practices, CI/CD, and multi-platform releases. | — | 0 |
| Software Engineer - OS & Kernel, Robot Software Software Engineer role focused on the OS and Kernel for Wayve's autonomous driving robot fleet. Responsibilities include developing and maintaining a custom Linux distribution using Yocto, creating and updating Linux kernel drivers for sensors, and hardening the system against cyber attacks. This role supports the data collection and iteration needs of AI model developers and scientists. | — | 0 |
| Director of Fleet Ops Execution This role leads the global execution of on-road testing for autonomous and assisted driving systems, managing regional test teams and partnering with Engineering and Product to ensure systems are validated and ready to scale. It focuses on operational planning, milestone tracking, and structured execution of technical testing requirements in real-world scenarios. | — | 0 |