Robotics Jobs

• London
• Hybrid
• Mid-level · manages people
• Permanent

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.

QNX · OpenTelemetry · Grafana +7

• London
• Hybrid
• Senior
• Permanent

Hands-on role bringing up new vehicle platforms on benches, HiL systems and vehicles, developing vehicle-facing software and shared frameworks in C++, Python or Rust. Involves diagnosing software/hardware integration issues across Linux, ROS2, sensors, CAN and Automotive Ethernet, plus building diagnostics and tooling for robot-software reliability.

ROS2 · NVIDIA DRIVE · Qualcomm Snapdragon Ride +4

• London
• On-site
• Lead · manages people
• Permanent

Hands-on engineering lead owning the path from AI agent task to healthy deployed change, building secure reproducible agent runtimes, verification tooling, and developer interfaces. Recruits and leads a new developer productivity team while working across Developer Tools, Security, Simulation, and robot software to cut cost and review time per accepted change.

Kubernetes · Linux

• London
• On-site
• Director · manages people
• Permanent

Owns end-to-end engineering delivery for a wheeled industrial humanoid product, spanning hardware, software, AI and system integration from design through pilots to scaled field deployment. Acts as a technical GM working through influence across matrixed functional teams, setting priorities and roadmap while reporting directly to the CTO.

• London
• Hybrid
• Mid-level
• Permanent

Builds robust, reusable test automation across component, integration and system levels, spanning hardware and embedded software boundaries. Owns design and delivery of automated verification for an embedded software area, creating open-loop and closed-loop HIL replay, reliability and fault-injection tests, and optimising Buildkite CI/CD workflows while leading root-cause investigations with cross-functional teams.

dSPACE · Vector · Xylon +7

• London
• Hybrid
• Senior
• Permanent

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.

PyTorch · GAIA

• London
• Hybrid
• Senior
• Permanent

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.

GTSAM · Ceres Solver · g2o +1

• London
• Hybrid
• Mid-level · manages people
• Permanent

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.

ROS 2 · DDS · QNX +4

• London
• Hybrid
• Lead · manages people
• Permanent

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.

Python

• London
• Hybrid
• Senior
• Permanent

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.

TensorRT · CUDA · Qualcomm QNN +7

• London
• Hybrid
• Senior
• Permanent

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.

LiDAR

• London
• Hybrid
• Senior
• Permanent

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.

PyTorch · CUDA

• London
• Hybrid
• Permanent

Builds virtual vehicle models using physics-based and data-driven techniques, validating them against on-road data and converting them into efficient software components. Runs track and partner experiments to improve model accuracy, and integrates models into simulation, hardware-in-the-loop and correlation pipelines across robotics, simulation and product teams.

Dymola · CarSim · CarMaker

• London
• Hybrid
• Senior
• Permanent

Owns embedded software that connects an autonomous driving AI to vehicle platforms, building integration and adaptation layers across hardware. Works on inference integration, vehicle data, navigation, localisation and motion control interfaces, taking features from design through HIL and vehicle testing. Requires strong modern C++ and Linux/QNX experience, ideally on Nvidia and Qualcomm platforms.

Nvidia · Qualcomm · Linux +3

• London
• Hybrid
• Permanent

Builds ground-truth datasets and computer vision classifiers that describe complex driving scenes across Wayve's data corpus, tackling road geometry, spatial relationships, road users and driving behaviour. Works with internal customers to define attributes and acceptance criteria, designs annotation tasks, and integrates classifiers with enrichment infrastructure for corpus analysis and scenario mining.

PyTorch · SQL · World Foundation Model