Latest Autonomous Vehicle Engineer Jobs

Staff Robotics Engineer, Localization

Lead the technical architecture and roadmap for onboard localisation, designing and productionising state-estimation systems that fuse GNSS, IMU and wheel odometry for accurate vehicle pose estimates. The role spans algorithm design, prototyping, validation and deployment on real-time vehicle platforms, with hands-on technical leadership and mentorship across robotics, calibration, controls and sensor teams.

Wayve London

Hybrid Permanent

Senior Software Engineer, Data and Orchestration

Builds and evolves the data pipeline and orchestration platform behind Wayve's autonomous driving data, revamping the existing Harness system and creating a new DAG-based workflow platform. Works on Kubernetes-deployed, distributed infrastructure handling hundreds of parallel pipeline steps, batch inference and evaluation workflows, closely with partner teams.

Wayve London

Hybrid Permanent

Implementation Manager - Quote to Order

Drive the regional rollout of a global Quote-to-Order process and its supporting digital solutions, working with country commercial teams to map current ways of working, close gaps and manage the transition. Coordinate CPQ deployment and integration with SAP S/4HANA, running workshops, testing, training and go-live, and acting as second-level tool support and process advisor.

ABB Friedberg, Germany

Hybrid

Developer Relations Manager, Physical AI Healthcare - EMEA

Builds and supports the EMEA developer ecosystem for spatial intelligence and healthcare robotics, working hands-on with developers on simulation, synthetic data, perception, autonomy and deployment. Produces reference workflows, sample apps, tutorials, workshops and demos, and engages MedTech OEMs, ISVs, hospitals and research labs to remove technical blockers. Represents developer needs to product and engineering teams and delivers technical content at GTC and industry events.

NVIDIA United Kingdom

Remote Permanent

Senior Machine Learning Engineer, ADAS

Builds and ships computer vision and 3D perception models for driver assistance, working across the full ML lifecycle from data generation to training, evaluation and iteration. The role spans latency-constrained on-car perception and large-scale offline work using lidar, maps and extra compute to power an auto-labelling data flywheel.

Wayve London

Hybrid Permanent

DevOps Engineer, CI/CD

Builds and operates the CI/CD infrastructure underpinning Wayve's software development lifecycle, maintaining pipelines, build agents, runners and artifact storage. Works with engineering teams to cut build and test feedback times, improving caching, dependency management and reproducible builds. Also develops self-service tooling and automation for pipeline management.

Wayve London

Hybrid Permanent

Applied Scientist/Machine Learning Engineer, Gaia

Develops next-generation generative world models and planners such as GAIA, using diffusion, transformer and hybrid architectures to simulate complex driving environments for training, testing and deployment. The role spans ML research, multi-modal modelling and real-world deployment, with a focus on inference efficiency, closed-loop agent interaction and sim-to-real evaluation.

Wayve London

Hybrid Permanent

Staff Software Engineer, Data Enrichment Platform

Owns the technical vision and architecture for a platform that lets model engineers deploy, run, evaluate and improve ML models over petabytes of driving data on large GPU fleets. Combines hands-on backend engineering in Python with cross-team technical leadership, mentoring senior engineers and leading a small team of 2-3.

Wayve London

Hybrid Permanent

Staff Machine Learning Engineer - Ops

Owns the engineering release process for autonomous driving models, defining branching strategies, release cadence, configuration management and quality gates. Reviews model, architecture and code changes against intended outcomes, assesses evaluation results for safety and performance, and builds CI/CD tooling and observability to catch issues earlier. Works across ML engineering, AI Platform, evaluation and product teams, balancing delivery speed with release rigour.

Wayve London

Hybrid Permanent

Principal Machine Learning Engineer GAIA

Lead large-scale training and post-training of Gaia, Wayve's world model that predicts future driving video frames and runs closed-loop with the driving stack. Own model architecture and training-strategy decisions, push autoregressive generation toward longer stable rollouts, and make the model deployment-ready. Work across Research, Applications, Core Simulation Engineering and Cloud/Infrastructure, mentoring and setting technical direction.

Wayve London

Hybrid Permanent

Platform Engineer, AI Enablement

You'll design, build and operate shared infrastructure for model access, agent runtimes and observability, taking projects from problem definition through technical design, deployment and ongoing operation. Working closely with security, IT and engineering, you'll create governed access layers, reusable tooling and standards so teams can run AI agents in production without one-off infrastructure.

Wayve London

Hybrid Permanent

Engineering Manager, Experiment Platform, Robot Software

Lead a London-based team building the on-vehicle experiment platform that lets researchers deploy driving models to vehicles, run experiments and collect training data. Own people, roadmap and OEM partnerships while staying hands-on with embedded Linux, C++/Python and over-the-air deployment across vehicle fleets.

Wayve London

Hybrid Permanent

Engineering Manager, Runtime Platform, Robot Software

Lead a newly dedicated Runtime Platform team building the application frameworks, middleware, IPC, performance and observability foundations that let Wayve's AI Driver run in real time onboard vehicles. The role is people-first, combining coaching, hiring and roadmap ownership with technical direction across latency, profiling, real-time scheduling and embedded Linux, partnering with vehicle software, hardware and OEM programme teams.

Wayve London

Hybrid Permanent

Release Manager - AI Models

Owns the end-to-end release cycle for AI driving models, coordinating ML engineering, evaluation, data science, platform, testing and product teams. Defines release gates and promotion criteria from training through validation to fleet deployment, drives regression investigations and rollback decisions, and builds tooling and KPIs to remove bottlenecks in a non-deterministic ML environment.

Wayve London

Hybrid Permanent

Solution Architect

Bridges Wayve's core AI Driver architecture and OEM/Tier 1 vehicle platforms, defining software–vehicle interfaces across sensors, signals, middleware and ECUs. Owns interface contracts, ownership boundaries and validation-ready requirements, representing Wayve in partner technical discussions.

Wayve London

Hybrid Permanent