Latest AI Robotics Jobs

Simulation Engineer - Manipulation

Design and implement physics-based simulation environments for robotic manipulation tasks in industrial, service, and home settings. Focus on reinforcement learning, reward function design, and reducing the sim-to-real gap using high-fidelity physics engines and GPU-accelerated infrastructure. Collaborate with vendors and engineers to ensure simulation accuracy and scalability.

Humanoid London, United Kingdom

On-site Permanent

Full Stack Engineer

Design and build a cloud-based platform to manage fleets of humanoid robots, including backend services, robot-side software, and infrastructure automation. Develop APIs, data pipelines, and observability systems to support real-time monitoring and control. Work across the full stack to deliver reliable, secure systems for industrial robotics deployment.

Humanoid London, United Kingdom

On-site Permanent

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Director of Fleet Operations Execution

Leads global fleet operations for a self-driving AI company, setting safety and performance standards across regions. Manages regional heads, drives incident response for high-severity events, and ensures alignment across technical and operational teams. Focuses on risk management, cross-functional collaboration, and maintaining a unified global operating model in complex, safety-critical environments.

Wayve London, United Kingdom

Hybrid Permanent

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Engineering Manager, Runtime Platform, Robot Software

Lead the Runtime Platform team at Wayve, responsible for building and maintaining the real-time application frameworks, middleware, and observability systems that power AI-driven vehicles. You'll guide technical direction in embedded systems and IPC, while growing and coaching a high-performing engineering team. The role involves close collaboration with vehicle software, hardware, and OEM teams to enable scalable, low-latency performance across new vehicle platforms.

Wayve London, United Kingdom

Hybrid Permanent

Senior CPU Compiler Performance Engineer

Design and optimize compiler technologies for NVIDIA's CPUs, focusing on performance improvements for AI and HPC workloads. Collaborate with distributed teams and open-source communities to advance hardware-software co-design. Work on cutting-edge compiler toolchains targeting next-generation compute architectures.

NVIDIA

Senior CPU Compiler Performance Engineer

This role involves developing high-performance CPU compilers for NVIDIA's next-generation computing platforms, with a focus on AI and HPC workloads. You'll work on hardware-software co-design, optimise compiler toolchains, and contribute to open-source projects like LLVM and GCC. Collaboration with distributed teams and upstream communities is central to improving performance across NVIDIA's data centre and supercomputing technologies.

NVIDIA

VP of Partnerships - MENA

Lead commercial expansion of humanoid robotics across the Middle East and North Africa, focusing on Saudi Arabia and the GCC. Develop go-to-market strategy, build sales pipelines, and secure partnerships with enterprise, government, and sovereign entities. Translate strategic opportunities in manufacturing, logistics, and smart cities into commercial adoption through executive engagement and ROI-driven business cases.

Humanoid United Kingdom

Remote Permanent Clearance Required

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Senior Machine Learning Engineer, AI Performance

This role involves delivering production-ready machine learning models for autonomous driving systems, focusing on optimising model performance under strict runtime constraints. The engineer will iterate on PyTorch models, apply techniques like quantisation and distillation, and collaborate closely with performance and inference teams to ensure deployability on-vehicle. It’s a hands-on, delivery-oriented position in a high-ownership environment tackling real-world AI challenges.

Wayve London, United Kingdom

On-site Permanent

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Senior SRE, AI Infrastructure

This role involves building and scaling the reliability foundations of Wayve's AI cloud platform, including the Model Development and GPU Compute platforms. You'll define SRE frameworks, automation, and operational standards to ensure resilient, efficient, and scalable infrastructure. The position requires deep expertise in Kubernetes, cloud environments, distributed systems, and observability, with a focus on enabling fast, reliable AI model training and deployment.

Wayve London, United Kingdom

On-site Permanent

W

Staff SRE, AI Infrastructure

This role involves building and scaling the reliability foundations of Wayve's AI cloud platform, focusing on the Model Development and GPU Compute environments. The engineer will define SRE frameworks, automation, and operational standards while ensuring resilient, efficient infrastructure for large-scale AI training and inference. The position bridges AI research, cloud infrastructure, and production operations, with a strong emphasis on observability, incident response, and platform ownership.

Wayve London, United Kingdom

On-site Permanent

W

Senior Platform Engineer

This role involves designing and maintaining cloud infrastructure, CI/CD pipelines, and developer tooling on Azure using Terraform, with a focus on security, scalability, and developer productivity. The engineer will support a multi-tenant Kubernetes-based platform, improve IAM/RBAC systems, and build internal tools to enable safe, rapid deployment for application teams. The position requires strong hands-on skills across infrastructure, security, and platform development in a high-autonomy environment.

Wayve London, United Kingdom

Hybrid Permanent

W

Fleet Service and Maintenance Technician

Maintain and repair autonomous vehicles to ensure operational readiness and safety. Perform diagnostics, servicing, and repairs using OEM tools and digital tracking systems. Support high-visibility demonstrations and collaborate with engineering and operations teams to improve fleet performance.

Wayve London, United Kingdom

On-site Permanent

W

Software Engineer

Design and build scalable Python libraries and tools that support ML engineers and researchers in training and evaluating models for autonomous driving systems. Work closely with ML teams to develop reliable, observable, and reusable abstractions for data pipelines, distributed training, and model evaluation across large GPU clusters. Contribute to the evolution of a high-impact AI platform enabling mapless, hardware-agnostic automated driving.

Wayve London, United Kingdom

W

Model Release Engineer

The role involves building and automating the end-to-end platform for releasing AI models, integrating systems across training, simulation, testing, and deployment. The engineer will design scalable, observable workflows, improve reliability, and use AI-assisted tools to streamline the model release lifecycle. Collaboration with cross-functional teams is key to aligning interfaces and resolving delivery challenges.

Wayve London, United Kingdom

W

Staff Machine Learning Engineer - Ops

This role focuses on ensuring the quality and reliability of machine learning model releases through rigorous validation and process standardization. The engineer will work across training phases, collaborating with platform, CI/CD, and evaluation teams to improve delivery pipelines and implement robust MLOps practices. The position is central to maintaining model integrity and safety in a high-stakes autonomous driving environment.

Wayve London, United Kingdom