Latest autonomous systems Jobs

Research Scientist, Wayve Labs

This role involves advancing embodied AI for autonomous driving through research in world modeling, reinforcement learning, and 3D spatial understanding. The scientist will develop foundation models, simulate real-world environments, and improve sim-to-real transfer, working at the intersection of machine learning, robotics, and large-scale systems. The position emphasizes long-horizon innovation, evaluation framework design, and deployment across diverse robotic platforms.

Wayve London, United Kingdom

On-site Permanent

Senior Deep Learning Engineer

This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, specifically within NVIDIA's Cosmos World Foundation Models platform. The engineer will work closely with research and engineering teams to profile and eliminate bottlenecks in production-grade systems. Focus areas include inference speed improvements, quantization, and GPU workload tuning for applications in autonomous vehicles, robotics, and AI agents.

NVIDIA PLN 221,250 – PLN 507,000 pa

Hybrid Permanent

Senior Deep Learning Engineer

This role involves optimizing and deploying deep learning models, particularly Cosmos World Foundation Models, for high-performance inference on GPU platforms. The engineer will profile and tune deep learning workloads, working closely with research and hardware teams to bridge the gap between research and production systems. Focus areas include quantization, inference frameworks, and GPU-level performance optimization for applications in autonomous vehicles, robotics, and physical AI.

NVIDIA United Kingdom PLN 221,250 – PLN 507,000 pa

Data Science - Manager

Lead a team of data scientists focused on delivering high-impact evaluations and insights from real and simulated driving data to accelerate autonomous vehicle development. Drive technical direction, roadmap execution, and team growth while collaborating closely with engineering and product stakeholders. Build scalable tooling and foster a culture of statistical rigour and innovation within a fast-moving AI startup environment.

Wayve London, United Kingdom

Automation Engineer

Automation Engineer - Contract | Immediate StartInitial 3-month contract, with strong potential to extend to 6 monthsWe are recruiting on behalf of our client,who is looking for experienced Automation Engineers to join a fast-paced, multi-site automation programme across the UK...

Innovate Recruitment Manchester, United Kingdom £50 – £60 ph

Senior Buyer

This role involves managing end-to-end procurement operations for direct materials in a high-growth robotics startup. The Senior Buyer will lead sourcing initiatives, negotiate supplier contracts, ensure supply continuity, and drive cost and efficiency improvements across mechanical, electronic, and software commodities. Working closely with engineering and production teams, the role focuses on tactical P2P execution within SAP while supporting strategic sourcing and supplier performance management.

Humanoid London, United Kingdom

On-site Permanent

Global Logistics Manager

The role involves leading global logistics strategy and operations for a cutting-edge robotics company, managing cross-border freight, customs compliance, and supply chain scalability across international sites. You'll establish logistics frameworks, oversee import/export documentation, and support production ramp-ups while working closely with engineering and procurement teams in London, Boston, and Vancouver. The position requires deep expertise in global trade regulations, carrier management, and ERP systems like SAP S/4HANA, with a strong focus on risk mitigation and continuous improvement.

Humanoid London, United Kingdom

On-site Permanent

Principal AI Developer Technology Engineer

This role involves researching and developing techniques to GPU-accelerate AI workloads, particularly in deep learning and machine learning. You'll collaborate with experts in industry and academia to optimize complex algorithms for modern CPU and GPU architectures, while contributing to the design of next-generation hardware and software. The position emphasizes performance optimization, technical publication, and engagement with the developer community.

NVIDIA Reading, United Kingdom

Principal AI Developer Technology Engineer

This role involves researching and optimizing AI workloads for GPU acceleration on cutting-edge hardware, focusing on deep learning, machine learning, and high-performance computing. The engineer will collaborate with experts in industry and academia, publish optimization techniques, and influence future hardware and software design at NVIDIA. Key responsibilities include low-level performance tuning and advancing AI solutions on modern CPU and GPU architectures.

NVIDIA Germany

Principal AI Developer Technology Engineer

Research and develop GPU acceleration techniques for AI and HPC workloads, focusing on deep learning, machine learning, and complex algorithm optimization. Collaborate with experts in industry and academia to analyze and enhance performance on modern CPU and GPU architectures. Contribute to shaping next-generation hardware and software by publishing optimization insights and influencing design decisions.

NVIDIA

Principal AI Developer Technology Engineer

This role involves researching and developing GPU-accelerated techniques for AI and HPC workloads, focusing on deep learning, machine learning, and parallel algorithm optimization. You'll collaborate with experts in industry and academia to analyze and optimize complex algorithms for modern CPU and GPU architectures, while contributing to future hardware and software design. The position emphasizes performance optimization, technical publication, and engagement with the developer community.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and experiment with novel Transformer and GNN architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference acceleration—tackling real-world applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers and engineers to push the boundaries of relational reasoning in AI.

NVIDIA Germany

Relational Foundation Model Engineer, Modern Data Stack

Design and experiment with novel Transformer and GNN architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference acceleration—enabling applications in forecasting, fraud detection, and recommendation systems. Collaborate with researchers to ship foundational AI models into production.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and Graph Neural Network architectures for a unified foundation model that generalizes across relational databases and heterogeneous graphs. Work spans the full ML lifecycle, from research to production deployment, with direct impact on enterprise AI applications such as fraud detection, forecasting, and recommendation systems. Collaborate closely with researchers to advance the state of relational reasoning in AI.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN-based foundation models that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on a unified model powering real-world applications in forecasting, fraud detection, and recommendations. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA