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Build and refine data pipelines and evaluation frameworks for autonomous-driving foundation models, curating rare driving events and measuring model progress to scale safe, generalizable AI for vehicles.
The Staff Machine Learning Engineer builds and fine‑tunes computer‑vision and scene‑understanding models for offline performance measurement of autonomous vehicles, leveraging Python, PyTorch, transformer‑based vision models and large foundation models, and benchmarks their accuracy across platforms and conditions.
The Senior Site Reliability Engineer will ensure reliability, observability, and safety of Wayve's autonomous vehicle software fleet, handling on‑call support, building monitoring and automation, and driving incident response using Linux, Kubernetes, Docker, Python/C++/Rust, and tools like Prometheus and Datadog.
Train, debug, and ship computer vision and 3D perception models powering Wayve's ADAS driver-assistance products, working across the full ML lifecycle — building scalable data pipelines (incl. auto-labelling), training, evaluating, and iterating on detection, segmentation, and tracking. Involves both on-car latency-constrained models and offline large-scale data generation using CV/deep learning,
The Staff Security Engineer at Wayve will lead the security framework for the internal SPINE platform, developing and automating endpoint and identity security controls using scripting, IaC, and Linux, while collaborating with the central security team to enforce policies and mentor engineers.
Define and document how Wayve’s AI driving software integrates with OEM vehicle systems, including sensors, ECUs, and middleware, ensuring safe and consistent deployment across customer programs.
Lead Technical Program Manager for Data at Wayve builds and leads a TPM team to deliver data platform, pipelines, enrichment, labeling, and dataset management for autonomous vehicle AI, partnering with engineering and focusing on data quality, throughput, cost, and time‑to‑insight using tools like Databricks, Kubernetes, and AI agents.
The Technical Program Manager leads cross‑team delivery of simulation, evaluation and validation platforms for Wayve’s AI driver, coordinating roadmaps, risk, and release‑gating while driving metrics‑focused outcomes.
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.
The Sensing Systems Engineer at Wayve owns the vehicle sensor stack, defining performance requirements, building validation frameworks, and coordinating integration across hardware, software, and ML teams to ensure reliable autonomous driving data.
The Customer Integration Engineer provides hands‑on technical support to automotive customers, bridging their vehicle integration teams with Wayve’s internal engineers, troubleshooting AI driver issues using diagnostic tools, CAN/Ethernet protocols, and basic programming.
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.
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.
The Security Assurance Manager will design, implement and operate Wayve’s security assurance program, creating risk‑based methodologies, testing and automating control validation to support standards such as TISAX and ISO 21434, while collaborating with engineering teams in a cloud‑native, AI‑driven autonomous‑vehicle environment.
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.
Design and define L2/L3 automotive-grade systems for Wayve’s AI-driven autonomous driving platform, handling requirements, data‑driven development, integration, testing, and cross‑team collaboration using sensor processing, neural networks, and vehicle control software.
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.
Develops and executes automated tests for embedded software in autonomous vehicles, ensuring reliability and integration across OS, middleware, and sensors before real-world deployment. Focuses on hardware-in-the-loop validation and CI pipeline contributions.
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.
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