Robotics Jobs

• 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
• Mid-level · manages people
• Permanent

Lead the Platform Integration team within Robot Software, owning early vehicle software integration, drive-by-wire and vehicle-facing drivers. Manage engineers, hiring, roadmap and delivery while guiding architecture for reusable interfaces across vehicle variants and OEM programmes, balancing programme needs with reliability and tooling investments.

CAN · Automotive Ethernet

• London
• On-site
• Senior
• Permanent

Hands-on role rapidly iterating, assembling and diagnosing advanced humanoid robot platforms across the full hardware lifecycle, from concepting and prototyping to root-cause analysis and field repair. Leads troubleshooting of complex electrical issues, designs cable assemblies, test jigs and harnesses, and writes test procedures and repair runbooks. Works closely with mechanical, electrical and software engineers in a high-velocity startup prototyping lab.

Automated Test Tools · Diagnostic Tools

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

Leads Humanoid's AI research and engineering function as a player-coach, spending at least half of the first year on direct technical work: designing Transformer-based models and experiments, reviewing code, inspecting data, debugging training, and examining robot rollouts. Owns the research roadmap, data strategy, and offline/real-world evaluation systems, and builds a small team of researchers and engineers.

PyTorch · ROS 2 · Vision Transformers +5

• 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
• Mid-level
• Permanent

Builds geospatial services and data products that give Wayve's AI driver map and route awareness. Day to day means full-stack work in Python and TypeScript, PySpark and Databricks pipelines enriching fleet data at global scale, and integrating navigation APIs like Mapbox, TomTom and Google Maps. Services are owned end to end on Azure and Kubernetes.

Databricks · Mapbox · TomTom +7

• 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

You'll develop embedded software connecting Wayve's AI Driver to vehicle steering, braking and propulsion, working with MATLAB/Simulink on benches and in vehicles. The role spans drive-by-wire integration, OTA updates, ADAS/HMI interfaces, automated testing and diagnostics alongside OEMs and suppliers.

MATLAB · Simulink · CANoe +4

• London
• Hybrid
• Mid-level
• Permanent

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.

Kubernetes · MCP · RAG

• London
• Hybrid
• Senior
• Permanent

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.

• London
• On-site
• Mid-level
• Permanent

Train language-vision conditioned manipulation policies using reinforcement learning in both simulation and the real world, building task suites and real-world RL pipelines. Work closely with teleoperations and testing teams to collect trajectories and transfer policies from simulation to physical robots. Requires deep-learning experience with Python and PyTorch/JAX, plus hands-on work with LLMs, VLMs or generative models.

Isaac Sim · MuJoCo · Ray +2

• London
• On-site
• Senior
• Permanent

Own the hardware test methodology for a humanoid robot platform, defining component, subsystem and whole-robot tests and running them hands-on on early prototypes. Partner with automation, manufacturing and quality teams to translate methods into production test rigs, in-process checks and traceable acceptance criteria from EVT toward production.

Jira · X-Ray · TestRail +7

• London
• On-site
• Senior
• Permanent

Hands-on senior technician performing complex repair, rework and full overhaul of parts, sub-systems and complete humanoid robots in a Services Repair Centre. Acts as a forensic-analysis specialist determining root cause for warranty decisions, travels to customer sites for difficult interventions, authors work instructions and mentors junior technicians.

Humanoid Robotics · Legged Robotics

• London
• On-site
• Mid-level
• Permanent

Remote-first troubleshooting role at the core of a robot fleet support team, diagnosing humanoid hardware and software faults via telemetry and Digital Shadow diagnostics. You resolve cases remotely, write precise physical-intervention recommendations for field or Repair Centre teams, and occasionally travel on-site as a flying doctor.

ROS2 · Ubuntu · Linux +7

• 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.