Latest Autonomous Vehicle Engineer Jobs

Staff Robotics Engineer, 3D Sensing

Owns the technical architecture and roadmap for LiDAR and cross-sensor 3D sensing, leading development of target-based and targetless calibration, LiDAR-to-camera registration, temporal alignment and motion compensation using LiDAR odometry, nonlinear least-squares optimisation and factor graphs. A senior individual-contributor role combining algorithm development, evaluation methodology and productionisation, with technical leadership and mentorship across the 3D sensing stack.

Wayve London

Hybrid Permanent

Safety System Engineer

Lead functional safety activities for an end-to-end AI automated driving system, building Item Definitions, running HARA/FMEA/FTA analyses, and shaping safety concepts and architectures across vehicle platforms and third-party systems. Define verification and validation, including vehicle-level testing, and construct structured safety cases with claims, arguments and evidence for certification.

Wayve London

Hybrid Permanent

Mechanical Design Engineer

Design and integrate mechanical solutions for sensors and compute across multiple vehicle platforms, owning trade-offs across performance, cost, manufacturability and serviceability. Build test rigs, jigs and fixtures, produce 2D drawings, assemblies and BOMs with GD&T, and work hands-on with suppliers and cross-functional electronics teams.

Wayve London

On-site Permanent

Principle Engineer, 3D Reconstruction

Lead the technical direction for an offline 3D reconstruction system that turns raw vehicle sensor data into quality-assessed 3D ground-truth geometry and ego motion. The role spans SLAM, lidar point-cloud registration, state estimation and sensor fusion, with responsibility for architecture, roadmaps, prototypes and cross-functional alignment across perception, calibration and validation teams.

Wayve London

Hybrid Permanent

Senior ML Performance Engineer, Inference Optimisation

Hands-on role optimising inference for edge accelerators and GPUs so large transformer models run efficiently on low-cost, low-power in-vehicle compute. You'll profile model graphs, compilers, runtimes and kernels, implement optimisations like fusion, scheduling and custom kernels, and build benchmarking and regression tests across NVIDIA Orin/Thor and Qualcomm targets, working closely with model, platform and deployment teams.

Wayve London

Hybrid Permanent

Staff Software Engineer, Storage Platform

Sets technical direction for petabyte-scale object storage powering autonomous driving AI, leading a multi-quarter programme from architecture to adoption. Builds production services and controllers in Python or Go with Kubernetes and Terraform, working with ML, data, security and privacy teams on retention, caching, replication and cost reduction.

Wayve London

Hybrid Permanent

Software Engineer, AI Libraries

Builds reusable Python libraries and platform tooling for multimodal data loading, distributed training, checkpointing and observability, supporting ML teams running models across thousands of GPUs. Partners closely with researchers to turn complex workflows into stable, scalable software, leading projects from discovery to delivery. A platform engineering role rather than ML modelling.

Wayve London

Hybrid Permanent

Platform Engineer, Cloud Infrastructure

Builds and operates cloud infrastructure, automation and deployment systems powering software development, primarily on Azure. Automates provisioning with Terraform and Ansible, supports CI/CD pipelines, containerised workloads, monitoring and incident response, working closely with engineering teams to improve the developer experience.

Wayve London

Hybrid Permanent

Software Engineer, Simulation

Develops and maintains production-quality components in Wayve's shared simulation system, working hands-on in a modern C++ and Python codebase. Integrates driving-stack components, simulated robot systems and vehicle-platform capabilities, initially focused on high-scale open-loop evaluation. Investigates on-road versus simulated behaviour differences and improves reproducibility, observability and simulator performance.

Wayve London

Hybrid Permanent

Staff Robotics Engineer, AV Core

Sets technical strategy and roadmap for fault detection and fallback systems in an autonomous driving stack, designing and training detection mechanisms for robust driverless operation. Leads integration into the shared driving stack, aligning ML, inference optimisation and software teams, and mentors through architecture reviews. Works with large-scale training and fleet data in a small, high-impact team.

Wayve London

Hybrid Permanent

Principal Machine Learning Engineer, Driving Product

Lead a small team iterating on Wayve's end-to-end L2 driving model, balancing hands-on Python coding and experiments with directing priorities. You diagnose on-road issues, root-cause them, and drive fixes through data recipes, model architecture and evaluation, working across teams on model and vehicle interface problems.

Wayve London

Hybrid Permanent

Software Engineer - Drive-by-Wire, Robot Software

You'll develop embedded software connecting an AI Driver to vehicle steering, braking and propulsion, working in MATLAB/Simulink on flashing, calibration and drive-by-wire interfaces. The role spans bench and in-vehicle testing, CAN/CAN-FD diagnostics, OTA updates and ADAS/HMI integration, collaborating closely with OEMs, suppliers and controls engineers.

Wayve London

Hybrid Permanent

Senior Machine Learning Engineer, AV Core

Lead large-scale data enrichment and curation for the Core Model Safety team, mining hard and rare events and building workflows across pre/mid-training, reward modelling and self-supervised labelling. Design and train out-of-distribution detection mechanisms for robust driverless operation, working at the intersection of model engineering, infrastructure, compute and data.

Wayve London

Hybrid Permanent

Senior Software Engineer, Data - AI Portal

Build and operate a globally distributed Data Transfer Hub moving petabytes of sensor data per day from partners like Uber, Stellantis and Nissan. You'll design parallelised pipelines in Python and Terraform using Flyte, Kafka and Azure, own production reliability and observability, and join an out-of-hours on-call rotation.

Wayve London

Hybrid Permanent

Model Release Engineer

Builds Python services and microservices that orchestrate the end-to-end model-release workflow, integrating feature candidates into release branches and automating readiness checks before training. Connects training platforms, simulation and on-road testing, surfacing quality gates and approvals, and productionises services on Azure and Kubernetes with strong observability.

Wayve London

Hybrid Permanent