Robotics Jobs

• London
• Hybrid
• Lead
• Permanent

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.

PyTorch

• 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
• On-site
• Permanent

Owns the development, deployment and operation of an existing data platform, spanning cloud infrastructure, full-stack development, platform and data engineering. Leads external contractors as their sole point of contact, translating internal requirements into technical briefs and validating deliverables. Combines hands-on engineering with technical leadership and delivery ownership.

Object Storage · Relational Databases

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

Assemble electro-mechanical assemblies from CAD and work instructions, route and repair complex harnesses, and build compute assemblies using ESD techniques. Configure and test sensors, actuators and communication devices via command-line tooling, diagnose faults with multimeters and oscilloscopes, and rework through-hole and surface-mount PCBs. Working in a fast-moving workshop alongside engineers on the HMND-01 humanoid platform.

Git · GitLab · GitHub +5

• London
• Hybrid
• Lead
• Permanent

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.

ROS · PCL · OpenCV +3

• London
• Hybrid
• Senior
• Permanent

Owns shared onboard runtime foundations for autonomous vehicles: application frameworks, communication middleware, lifecycle management, health monitoring and observability. Day to day involves C++ development, end-to-end latency and performance profiling across OS scheduling, memory hierarchy and thread synchronisation, plus porting the stack to new operating systems and compute platforms.

NVIDIA Nsight · Lumos · tegrastat +5

• London
• Hybrid
• Lead
• Permanent

Lead an ambitious research agenda at the intersection of LLMs, VLMs, VLAs and embodied AI, exploring how world knowledge, memory and reasoning improve physical-world decision-making. Stay hands-on developing architectures, training and post-training large-scale models, while mentoring researchers and shaping technical direction across London and Sunnyvale.

PyTorch

• London
• Hybrid
• Senior
• Permanent

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.

GitHub · Buildkite · CLI

• London
• Hybrid
• Senior
• Permanent

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.

GTSAM · Ceres · g2o +7

• 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
• On-site
• Mid-level
• Permanent

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.

SolidWorks · SolidWorks PDM

• 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
• Senior
• Permanent

Lead the design of robust SLAM pipelines, long-term mapping and localisation loops, integrating foundation geometry models and modern ML into the core navigation stack. Build auto-labeling data pipelines and deploy low-latency spatial AI on physical robot hardware, bridging classical geometry with deep learning.

LiDAR

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

Owns device software and data pipelines for handheld gripper systems used to collect manipulation demonstrations for robot training. Involves writing production-grade C++/Python, synchronising multi-modal sensor streams, and building validation tooling to keep training datasets clean, working closely with hardware, AI and data collection teams.

VIO · Optical Trackers

• London
• On-site
• Senior
• Permanent

Build an internal data platform from the ground up, defining architecture for petabyte-scale robot telemetry pipelines, compute infrastructure and orchestration. Work spans backend services, data warehousing, BI dashboards and MLOps evaluation workflows, collaborating closely with machine learning teams on humanoid robot training data.

Kubernetes