Robotics Jobs

Wayve · London

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

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

Own a substantial work package end-to-end, defining the problem, setting strategy and sequencing work to advance an end-to-end AI driving platform. Lead a cross-functional team of engineers, researchers and PMs without formal authority, translating R&D progress and customer needs into a clear product roadmap with tracked KPIs and milestones.

Wayve · London

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

Build and operate backend services, APIs and data-processing workflows for a platform that deploys, runs and evaluates ML models over petabytes of driving data on large GPU fleets. Work spans model-execution workflows, versioned outputs, annotation and dataset-catalogue features, plus reliability, scheduling and observability improvements, alongside model engineering and infrastructure teams.

Wayve · London

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

Owns end-to-end supply chain execution across assigned programmes and product builds, covering prototype development, new product introduction and fleet launches. Acts as the primary supply chain lead and strategic liaison between hardware engineering and procurement, managing BOM translation, long-lead items, upfitter and partner relationships, and KPI reporting. Combines strategic programme ownership with hands-on execution in a fast-moving hardware environment.

Wayve · London

Owns validation strategy for ADAS and L2 autonomy functions, translating product, safety and regulatory requirements into test scenarios, metrics, coverage and acceptance criteria. Works hands-on with Python evaluation pipelines, simulation and SQL data analysis, and can be hired as a senior individual contributor or as a manager leading validation delivery.

Wayve · London

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

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

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

Owns the end-to-end architecture and technical roadmap for Remote Assistance, the real-time bridge between Wayve's AI Driver and human operators, spanning onboard vehicle integration, offboard services and operator HMI. Defines the vehicle-operator contract, fallback/MRM behaviour and latency budgets, and leads cross-org execution across autonomy, safety, platform and product teams to support the L4 safety case.

Wayve · London

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

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

Builds and leads the technical programme management function for Wayve's Data organisation, coaching a small TPM team while directly owning flagship programmes across data platforms, ingestion and standardisation pipelines, enrichment, curation, labelling and dataset quality. Partners with Data and Engineering leadership on planning, prioritisation and delivery, using KPIs and operational reviews to drive improvements in data quality, throughput and cost.