Latest Autonomous Systems Jobs

Senior Software QA Test Development Engineer

This role involves developing and automating test frameworks for a distributed system that manages thousands of resources across NVIDIA teams. The engineer will create test plans, automate UI and API testing, integrate tests into CI/CD pipelines, and enhance QA workflows using AI-driven tools. A key focus is leveraging Large Language Models and AI techniques to improve test generation, debugging, and validation efficiency in complex, cloud-based environments.

NVIDIA United Kingdom

Forensics Engineer

Investigate and resolve complex issues across Wayve's autonomous vehicle stack using data analysis, simulation, and cross-functional collaboration. Focus on root cause analysis, safety, and systemic improvements in a fast-paced AI-driven environment.

Wayve London, United Kingdom

Senior Software Engineer (Product, AI Portal)

Build and operate cloud-based software products for internal and external users on Wayve's AI Portal platform, working across services, APIs, and integrations in a high-ownership, full-stack environment. Solve customer problems end-to-end, from design to production support, with a focus on reliability, observability, and seamless partner integrations. Work closely with automotive OEMs and commercial partners in a fast-paced, startup-within-a-scale-up culture.

Wayve London, United Kingdom

Hybrid Permanent

Senior HPC Performance Engineer

Conduct performance analysis and optimization of GPU communication libraries on large multi-GPU and multi-node HPC clusters. Work across the full hardware-software stack to benchmark, triage, and improve performance for deep learning and HPC applications. Develop tools to analyze performance data and collaborate with distributed teams to shape future library roadmaps.

NVIDIA PLN 221,250 – PLN 507,000 pa

Remote Permanent

Principal Engineer, Data & Compute

Design and lead the evolution of large-scale AI infrastructure for training and inference workloads across thousands of GPUs and petabyte-scale data systems. Enable seamless cross-region execution and data federation while guiding technical strategy and mentoring engineering teams in a high-performance environment focused on embodied AI for autonomous driving.

Wayve United Kingdom US$370,300 – US$418,200 pa

Hybrid Permanent

Senior Embedded Architect Manager

Lead the design and implementation of secure embedded architectures for next-generation NVIDIA Networking products, integrating hardware and software security solutions. Collaborate across global teams and external partners to define security standards, develop trusted platforms, and guide the integration of security-by-design principles. Focus on low-level firmware, boot architecture, and IO interfaces including PCIe, USB, and I3C in high-performance networking environments.

NVIDIA Cambridge, United Kingdom

On-site Permanent

Senior Embedded Architect Manager

Lead the design and implementation of security architecture for next-generation NVIDIA Networking products, combining hardware and software solutions. Drive innovation in secure computing platforms using hardware security primitives and collaborate across global teams and partners. Focus on embedded security, low-level firmware, and IO interfaces to meet stringent security requirements.

NVIDIA Bristol, United Kingdom

On-site Permanent

Senior Embedded Architect Manager

Lead the design and implementation of security architecture for next-generation NVIDIA Networking products, combining hardware and software solutions. Drive innovation in secure computing platforms using hardware security primitives and collaborate across internal teams and external partners. Focus on embedded systems, low-level firmware, and secure boot architectures with a strong emphasis on research, standards compliance, and threat mitigation.

NVIDIA Reading, United Kingdom

On-site Permanent

Senior Embedded Architect Manager

Lead the design and implementation of secure embedded systems for NVIDIA's next-generation networking products, focusing on hardware-software co-architecture and security-by-design principles. Collaborate across global teams and external partners to define microarchitectural specifications, implement secure boot and root-of-trust solutions, and integrate hardware security primitives. Work hands-on with low-level firmware, IO interfaces, and open-source software to build trusted computing platforms.

NVIDIA United Kingdom

Remote Permanent

Senior Embedded Architect Manager

Lead the design and implementation of secure embedded systems for next-generation NVIDIA Networking products, integrating hardware and software security solutions. Work across teams and with external partners to define architecture, implement security primitives, and address threats. Focus on low-level firmware, boot architecture, and secure platform development using technologies like RISC-V and PCIe.

NVIDIA

On-site Permanent

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 real-world applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers and engineers to build a unified AI model for enterprise data.

NVIDIA Germany

On-site Permanent

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 enterprise AI applications in forecasting, fraud detection, and recommendations. Collaborate with researchers to advance relational reasoning and deploy cutting-edge systems into production.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and Graph Neural Network (GNN) architectures that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from model design and large-scale training to optimization and inference acceleration—targeting real-world enterprise applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to advance foundational AI models that redefine the modern data stack.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN architectures for a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from research to production deployment—on applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN architectures for a unified foundation model that interprets relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on high-impact applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to advance graph learning and relational reasoning in enterprise AI.

NVIDIA