Wayve
Wayve builds end-to-end autonomous driving software—the vehicle-agnostic Wayve AI Driver—that runs on onboard compute and native sensors, licensed to automakers and fleet operators. Its platform spans ADAS and higher autonomy (L2+/L3 to robotaxi) and is designed to generalize across vehicle types and geographies. Founded in 2017 and headquartered in London, it tests its models across Europe, North America, and Japan, with a U.S. base in Sunnyvale, CA.
Open Positions at Wayve
69 open positions
Senior Software Engineer joining Wayve’s Runtime Platform team to improve the performance, observability, and reliability of embedded software running on autonomous vehicles. The role focuses on profiling, diagnosing bottlenecks, and optimizing critical C++ code paths across the vehicle software stack.
Wayve is hiring a Platform Engineer to build, operate, and improve Azure-centered cloud infrastructure supporting software development, testing, and deployment. The hands-on role focuses on infrastructure automation, CI/CD, observability, container platforms, and reliable software delivery.
Lead the post-training, fine-tuning, and deployment readiness of Gaia, Wayve’s frontier world model for autonomous driving. You’ll improve long-horizon video generation, steerability, stability, and reliability while providing technical leadership across research and engineering teams.
Staff Machine Learning Software Engineer building scalable software, data pipelines, and infrastructure for foundation-model research in robotics. The role partners closely with researchers to support training, evaluation, and reliable experimentation across large multimodal datasets and models.
Wayve is hiring a Platform Engineer to build, operate, and improve Azure-centered cloud infrastructure and software delivery platforms for autonomous driving systems. The hands-on role focuses on infrastructure automation, deployment systems, observability, reliability, and incident response.
Join Wayve’s Platform Integration Team to bring up new vehicle programs and build reliable, reusable software for autonomous driving systems. You’ll work hands-on across robot software, vehicle hardware, diagnostics, and integration environments to enable safe deployment at scale.
Staff Software Engineer building and maintaining the embedded Linux software stack that powers Wayve’s autonomous-vehicle development fleet. The role focuses on kernel and device drivers, reliable C/C++ systems software, diagnostics, and robotics-platform support.
Lead the technical vision and hands-on development of Wayve’s data enrichment platform, enabling teams to deploy, evaluate, and improve machine-learning models across petabytes of driving data and large GPU fleets. This staff-level role combines distributed systems architecture, backend engineering, and cross-team technical leadership.
Build and improve large-scale data ingestion systems that power Wayve’s self-driving AI, processing hundreds of petabytes of real-world driving data. This hands-on role focuses on pipeline reliability, throughput, debugging, and operational efficiency.
Lead the technical direction and delivery of fault detection and fallback systems for Wayve’s driverless vehicles. This staff-level robotics role combines safety-critical systems engineering, robotics, and machine learning to improve real-world autonomous driving reliability.
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