Latest Autonomous Systems Jobs

Systems Software Engineer, Kubernetes Scale - DGX Cloud

This role involves driving performance and scalability testing for NVIDIA's DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator and DCGM. The engineer will diagnose complex distributed systems issues, build automated testing frameworks within CI/CD pipelines, and collaborate with AI teams and open-source communities. Key responsibilities include optimizing AI infrastructure efficiency and presenting technical findings at industry events.

NVIDIA Germany PLN 176,250 – PLN 383,500 pa

Remote Permanent

Systems Software Engineer, Kubernetes Scale - DGX Cloud

This role involves driving performance and scale characterization for NVIDIA's DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator, DCGM, and NIM. The engineer will deep-dive into distributed systems issues, develop automated testing frameworks, and optimize AI infrastructure at scale. Collaboration with AI researchers and upstream open-source communities is key to improving large-scale AI workloads.

NVIDIA PLN 176,250 – PLN 383,500 pa

Remote Permanent

Principal Engineer, Data & Compute

This role involves designing and leading the evolution of large-scale AI infrastructure for training and inference workloads across thousands of GPUs and petabytes of driving data. The Principal Engineer will architect global compute and data federation systems, enabling seamless cross-region execution in hybrid and multi-cloud environments. Emphasis is placed on scalability, resilience, and performance to support Wayve’s mission of building mapless, embodied AI for autonomous vehicles.

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

Hybrid Permanent

Director of Platform Management for Simulation, Evaluation & Validation

Leads product vision for simulation, evaluation, and validation platforms used in developing Wayve’s AI Driver. Orchestrates cross-functional platform strategy, improves developer velocity, and ensures robust, scalable tooling for autonomous driving development. Focuses on data-driven KPIs, platform quality, and operational rigor in a safety-critical environment.

Wayve United Kingdom US$332,000 – US$415,000 pa

Hybrid Permanent

Systems Software Engineer, Kubernetes Scale - DGX Cloud

This role involves driving performance and scalability of the NVIDIA DGX Cloud software stack, with a focus on Kubernetes and NVIDIA components like GPU Operator, DCGM, and NIM. The engineer will deep-dive into distributed systems issues, build automated testing frameworks, and optimize large-scale AI infrastructure. Collaboration with AI teams and upstream open-source communities is central to improving real-world AI workloads.

NVIDIA PLN 176,250 – PLN 383,500 pa

Remote Permanent

Systems Software Engineer, Kubernetes Scale - DGX Cloud

This role involves driving performance and scalability of the NVIDIA DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator, DCGM, and NIM. The engineer will deep-dive into distributed systems issues, build automated testing and monitoring tools, and contribute to open-source communities to optimize AI infrastructure at scale. A strong background in systems performance, Kubernetes, and large-scale accelerator-based environments is essential.

NVIDIA PLN 176,250 – PLN 383,500 pa

Remote Permanent

Systems Software Engineer, Kubernetes Scale - DGX Cloud

This role involves driving performance and scalability of the NVIDIA DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator and DCGM. The engineer will diagnose complex distributed systems issues, build automated testing and monitoring tools, and contribute to open-source communities. Work includes root cause analysis, CI/CD integration, and optimizing AI infrastructure at scale across cloud platforms.

NVIDIA PLN 176,250 – PLN 383,500 pa

Remote Permanent

Systems Software Engineer, Kubernetes Scale - DGX Cloud

This role involves driving performance and scalability of the NVIDIA DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator and DCGM. The engineer will diagnose complex distributed systems issues, build automated testing and monitoring tools, and collaborate with upstream open-source communities. Work includes continuous performance testing, root cause analysis at scale, and contributing to AI infrastructure optimization for large-scale GPU clusters.

NVIDIA PLN 176,250 – PLN 383,500 pa

Remote Permanent

Senior Software Engineer, RL Post-Training Frameworks

Design and scale reinforcement learning post-training infrastructure that integrates training, inference, and rollout across heterogeneous hardware. Optimize distributed systems for performance, fault tolerance, and scalability, contributing to open-source frameworks and collaborating with research and hardware teams to advance AI capabilities.

NVIDIA Germany

Remote Permanent

Senior Software Engineer, RL Post-Training Frameworks

Design and build scalable reinforcement learning post-training infrastructure that integrates training, inference, and rollout across heterogeneous hardware. Work across the full stack—from deep learning frameworks to distributed runtimes—optimizing performance and reliability at scale. Collaborate with researchers and hardware teams to shape next-generation AI systems.

NVIDIA

Remote Permanent

Senior Software Engineer, RL Post-Training Frameworks

This role involves designing and building scalable reinforcement learning (RL) post-training infrastructure that operates across thousands of nodes, optimizing training-inference-rollout loops on GPUs, CPUs, and LPUs. The engineer will contribute to open-source RL frameworks like VeRL, Miles, and TorchTitan, improve distributed runtimes such as Ray and Monarch, and collaborate with hardware and research teams to enable next-generation AI capabilities. Key responsibilities include ensuring fault tolerance, elastic scaling, and efficient execution of complex RL workloads in heterogeneous environments.

NVIDIA

Remote 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

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 analyze workloads to eliminate bottlenecks, collaborating with research scientists and hardware experts. The position focuses on bridging research and production systems in the domain of physical AI for applications like autonomous vehicles and robotics.

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 work at the intersection of deep learning and systems optimization, profiling workloads and removing bottlenecks in collaboration with research, software, and hardware teams. The position emphasizes production-grade deployment and performance tuning across diverse GPU environments.

NVIDIA £221,250 – £507,000 pa

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 at the intersection of deep learning and systems optimization, profiling workloads and eliminating bottlenecks in collaboration with research scientists and hardware teams. The focus is on enabling efficient physical AI applications such as autonomous vehicles, robotics, and video analytics through scalable model deployment.

NVIDIA PLN 221,250 – PLN 507,000 pa

Hybrid Permanent