Latest Autonomous Systems Jobs

Senior HPC Performance Engineer

This role involves analyzing HPC applications across diverse architectures, from single-core benchmarks to large-scale distributed systems with CPUs, GPUs, and many-core processors. The engineer will identify performance bottlenecks and optimization opportunities to guide compiler and application development teams. Work includes supporting customer GPU acceleration efforts and deep performance analysis using tools and techniques tailored to parallel and heterogeneous computing environments.

NVIDIA Germany

Remote Permanent

Senior HPC Performance Engineer

Analyze HPC applications across heterogeneous systems to identify performance bottlenecks and optimization opportunities, supporting compiler and application engineering teams. Work with large-scale scientific codes in domains like climatology and fluid dynamics, using advanced parallel programming models and performance tools. Collaborate with internal teams and external customers to accelerate HPC workloads on GPU-accelerated architectures.

NVIDIA

Remote Permanent

Senior Data Scientist

Develop actionable insights from real and simulated driving data to improve the functionality, safety, and performance of Wayve's AI-driven autonomous vehicles. Design experiments, refine performance metrics, and collaborate with engineering teams to advance end-to-end AI for automated driving. Work in a fast-paced, innovative environment focused on shaping the future of autonomous mobility.

Wayve London, United Kingdom

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 cross-functional collaboration with engineering teams. Scale the team and its tooling to support Wayve’s mission of advancing end-to-end AI for automated driving.

Wayve London, United Kingdom

Senior Applied Engineer

Develop and scale physical foundation models for AI-driven engineering simulation, bridging research and production. Work across the full stack from distributed training on multi-GPU cloud infrastructure to robust software implementation, collaborating with scientists and engineers to solve real-world physics problems. Contribute to reusable libraries and mentor team members in a high-impact, research-led environment.

PhysicsX United Kingdom

Hybrid Permanent

Detection Engineer

The role involves building and maintaining security detection and incident response systems at a fast-growing AI company. The engineer will develop detection rules, automate security operations using AI and scripting, and monitor cloud, endpoint, and SaaS environments. Emphasis is placed on proactive threat detection, rapid response, and scaling security through automation.

ElevenLabs London, United Kingdom

Hybrid Permanent

Data Engineer

The role involves building and scaling data pipelines for ElevenLabs' Growth team, with a focus on data quality, self-service access, and automation. You'll implement dbt best practices, develop tooling to empower cross-functional teams, and create AI agents to answer data queries. The position emphasizes scalable data infrastructure and collaboration across engineering, revenue operations, and growth functions.

ElevenLabs United Kingdom

Remote Permanent

Solutions Architect - NVIDIA AI Cloud Partners and Datacentre Infrastructure

Design and deploy AI and HPC GPU infrastructure in large-scale datacentres, focusing on power, cooling, and MEP integration. Act as a technical advisor to cloud partners, lead proofs of concept, and influence product development through customer feedback. Emphasis on scalable, efficient datacentre solutions for next-generation computing.

NVIDIA Bristol, United Kingdom

Solutions Architect - NVIDIA AI Cloud Partners and Datacentre Infrastructure

This role involves designing and implementing NVIDIA's AI and HPC GPU infrastructure solutions within large-scale datacentre environments, with a strong focus on power, cooling, and MEP integration. The Solutions Architect will work directly with cloud partners and customers to ensure datacentre designs support next-generation GPU workloads, guiding them through technical challenges and infrastructure planning. Key responsibilities include leading PoCs, delivering technical workshops, and providing feedback to shape future NVIDIA infrastructure products.

NVIDIA

Compiler Engineer - AI Inference

Develop and optimize compilers for AI inference workloads on NVIDIA's next-generation GPUs, focusing on kernel generation, computational graph optimizations, and hardware-software co-design. Collaborate with cross-functional teams to advance compiler frameworks and enable high-performance AI deployment at scale. Work spans MLIR-based tooling, deep learning performance, and datacenter-scale optimization.

NVIDIA Cambridge, United Kingdom

Compiler Engineer - AI Inference

This role involves developing advanced compiler technologies for AI inference and training workloads, focusing on kernel generation and computational graph optimizations tailored to NVIDIA's GPUs. You'll work at the intersection of hardware and software, collaborating with experts to co-design future silicon and optimize datacenter-scale AI deployments. The position demands deep expertise in compiler design, MLIR, and performance optimization in high-performance computing environments.

NVIDIA United Kingdom