70 jobs
NVIDIA Cambridge
Design and optimize compiler technologies for NVIDIA's CPUs, focusing on performance improvements for AI and high-performance computing workloads. Collaborate with distributed teams and open-source communities to advance hardware-software co-design, using tools like LLVM and GCC. Work on pre-silicon compiler development and contribute to next-generation compute architectures.
Humanoid London
Designs, implements and validates actuator- and joint-level controllers plus grasp-level behaviours for a family of end-effectors, including parallel and multi-finger grippers, vacuum tooling and underactuated designs. Works in ROS2 and C++ from real-time embedded control through kinematics, dynamics, transmission modelling and hands-on hardware bring-up, shaping actuation and transmission choices with mechanical engineers early in the design cycle.
Humanoid London
Lead the design of state estimation, long-term mapping and localisation loops, integrating modern machine learning and foundation geometry models into the core navigation stack. Train and deploy large-scale multimodal networks for ultra-low latency performance on edge hardware, building 3D spatial representations that give robots persistent spatial memory. Works cross-functionally between research and reliable robot integration.
Wayve London
Post-train and scale GAIA-family large video diffusion world models to generate multimodal synthetic driving data, running generation pipelines across tens of thousands of segments and optimising GPU inference. Sits between ML research and engineering, landing synthetic data into the same training stack as real driving data and measuring its impact on driving-model performance.
Wayve London
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.
NVIDIA United Kingdom
Builds and supports the EMEA developer ecosystem for spatial intelligence and healthcare robotics, working hands-on with developers on simulation, synthetic data, perception, autonomy and deployment. Produces reference workflows, sample apps, tutorials, workshops and demos, and engages MedTech OEMs, ISVs, hospitals and research labs to remove technical blockers. Represents developer needs to product and engineering teams and delivers technical content at GTC and industry events.
eFinancialCareers London
Design and deliver AI-driven automation solutions that streamline complex business processes across customer, operations, compliance, legal and finance workflows. Build scalable automation services integrating AI/ML into production business workflows, working with product managers, technical program managers and business architects in a cross-functional team.
Wayve London
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.
Wayve London
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.
Humanoid London
Senior systems engineering role focused on the software and autonomy stack of a humanoid robot platform, spanning perception, localisation, navigation, AI, motion planning, controls and ROS 2. Involves translating product needs into requirements, architectures and interfaces, coordinating integration across teams, and defining verification and validation strategies for autonomous behaviours.
