Top Tech Jobs & Startup Jobs in London

As a Platform Engineer, you'll manage cloud infrastructure, enhance developer tooling, optimize CI/CD pipelines, ensure system security, and provide support for operations, contributing to team efficiency and productivity.

Lead the technical program management function for company-wide quality, compliance, security, privacy, and operational safety initiatives. Build and coach a TPM team, establish scalable governance and metrics, drive audit readiness, manage risks and dependencies, and partner with engineering, product, safety, legal, security, operations, auditors, and external partners. The role emphasizes pragmatic, lightweight processes that improve compliance and quality without slowing delivery.

Leads the technical program management function for Wayve’s AI Platform, overseeing data and compute infrastructure, developer tooling, training technology, compute management, and embedded inference optimization. Builds and coaches a TPM team, drives flagship programs, establishes governance and performance metrics, manages cross-functional dependencies, and partners with engineering leadership to improve developer velocity, compute efficiency, cost, and model training and inference performance.

Lead the architecture, development, validation, and production deployment of onboard localisation and state-estimation systems for autonomous vehicles. Fuse GNSS, IMU, wheel odometry, and potentially camera, LiDAR, and RADAR data to deliver reliable real-time pose estimates. Define technical roadmaps, develop benchmarking and regression capabilities, manage fault handling and degraded modes, resolve cross-team integration issues, and mentor robotics and state-estimation engineers.

Lead the architecture, development, evaluation, and production deployment of LiDAR and cross-sensor 3D sensing systems for autonomous vehicles. Develop calibration, registration, temporal alignment, motion compensation, and sensor-fusion methods across LiDARs, cameras, and vehicle sensors. Establish evaluation methodologies and metrics, collaborate across engineering and research teams, and provide technical leadership and mentorship.

Develop and maintain C++ and Python simulation software for evaluating autonomous driving systems. Integrate driving-stack, robotics, vehicle-platform, sensor, and machine-learning components; investigate simulation-versus-road differences; improve reproducibility, reliability, observability, testing, debugging, and performance; and collaborate with Simulation, Robotics, Autonomy, Evaluation, Platform, and Data teams.

Lead complex, cross-functional technology programs across AI, software, robotics, vehicle hardware, infrastructure, simulation, data, and product teams. Own delivery plans, improve efficiency, coordinate stakeholders, manage risks and dependencies, align execution with business goals, and drive continuous process improvement in a fast-paced autonomous-vehicle environment.

Leads Wayve’s data strategy for autonomous-driving AI, including data acquisition, discovery, curation, enrichment, training, evaluation, deployment, and performance measurement. Builds the data flywheel, identifies rare and safety-critical scenarios, connects data investment to model outcomes, scales global data architecture, and leads a multidisciplinary Data organization. Partners with AI, Science, Validation, Product, Compute, Finance, and Commercial teams.

Build, maintain, and improve CI/CD pipelines and build infrastructure across development, testing, and release workflows. Optimize build performance, reliability, scalability, caching, dependency management, and reproducibility. Develop automation and developer tooling, operate CI infrastructure, troubleshoot pipeline failures, and improve CI/CD security and engineering workflows. Partner closely with software engineering teams to enhance developer experience and software delivery.

Develop, integrate, tune, and validate vehicle trajectory and motion controllers for autonomous and assisted driving systems. Build latency-sensitive, production-quality C++ controls software connecting AI outputs to vehicle actuation and feedback. Use simulation, closed-loop evaluation, and on-road testing to diagnose behavior and validate improvements across vehicle platforms. Collaborate cross-functionally on controller interfaces, system integration, and new vehicle features.