Latest Autonomous Systems Jobs

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 debug large-scale distributed systems, build automated testing and monitoring tools, and collaborate with AI teams and open-source communities to optimize AI infrastructure efficiency and cost. Work includes deep performance analysis, CI/CD integration, and contributing to upstream projects like Kubernetes and CNCF.

NVIDIA 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 debug complex distributed systems, build automated testing and monitoring tools, and collaborate with AI teams and open-source communities to optimize large-scale AI infrastructure. Work includes root cause analysis, CI/CD integration, and contributing to upstream projects like Kubernetes and CNCF.

NVIDIA PLN 176,250 – PLN 383,500 pa

Remote Permanent

Systems Software Engineer, Kubernetes Scale - DGX Cloud

This role involves driving performance and scalability 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, and collaborate with AI teams and open-source communities to optimize large-scale AI infrastructure. Key responsibilities include continuous performance testing, root cause analysis, and contributing to upstream projects like Kubernetes and CNCF.

NVIDIA PLN 176,250 – PLN 383,500 pa

Remote Permanent

Senior Solutions Architect, Generative AI - AI Models and Systems at NVAITC

This role involves collaborating with top UK universities and research labs on high-impact AI projects, evaluating new research opportunities, and championing NVIDIA's software platforms. You will also help secure research funding, provide strategic insights, and coordinate outreach activities.

NVIDIA Cambridge, United Kingdom

On-site Permanent

Senior Solutions Architect, Generative AI - AI Models and Systems at NVAITC

This role involves collaborating with top UK universities and research labs on high-impact AI projects, evaluating new research opportunities, and championing NVIDIA's software platforms. You will also help secure research funding, provide strategic insights, and coordinate outreach activities.

NVIDIA Reading, United Kingdom

On-site Permanent

Senior Solutions Architect, Generative AI - AI Models and Systems at NVAITC

This role involves collaborating with top UK universities and research labs on high-impact AI projects, evaluating new research opportunities, and championing NVIDIA's software platforms. You will also help secure research funding, provide strategic insights, and coordinate outreach activities.

NVIDIA United Kingdom

Remote Permanent

Senior Manager, Interactive World Model Platforms

NVIDIA's OmniDreams and FlashDreams are the foundation for a new generation of interactive world-model systems. With this release, NVIDIA has set the standard for fidelity, real-time inference performance in world models. And, we've put our work in the open with...

NVIDIA Reading, United Kingdom

Senior Manager, Interactive World Model Platforms

NVIDIA's OmniDreams and FlashDreams are the foundation for a new generation of interactive world-model systems. With this release, NVIDIA has set the standard for fidelity, real-time inference performance in world models. And, we've put our work in the open with...

NVIDIA Germany

Senior Manager, Interactive World Model Platforms

NVIDIA's OmniDreams and FlashDreams are the foundation for a new generation of interactive world-model systems. With this release, NVIDIA has set the standard for fidelity, real-time inference performance in world models. And, we've put our work in the open with...

NVIDIA

Senior Software Engineer, RL Post-Training Frameworks

Architect and develop scalable reinforcement learning post-training infrastructure that operates across GPUs, CPUs, and LPUs, from single-node experimentation to multi-thousand-node production systems. Work closely with AI researchers and infrastructure teams to optimize distributed training-inference-rollout loops, improve open-source RL frameworks, and integrate with distributed runtimes like Ray and Monarch. Focus on performance, fault tolerance, elastic scaling, and hardware-aware execution for next-generation AI workloads.

NVIDIA Germany

Remote Permanent

Senior Software Engineer, RL Post-Training Frameworks

This role involves designing and building scalable reinforcement learning (RL) post-training infrastructure that supports the full lifecycle of training, inference, and rollout across heterogeneous hardware. The engineer will optimize distributed systems for performance, fault tolerance, and efficiency, working closely with AI researchers and infrastructure teams. Key responsibilities include improving open-source RL frameworks, enabling CPU- and GPU-accelerated workloads, and collaborating with hardware and compiler teams to support next-generation AI capabilities.

NVIDIA

Remote Permanent

Senior Software Engineer, RL Post-Training Frameworks

This role involves designing and building scalable reinforcement learning (RL) post-training infrastructure that supports the full lifecycle of training-inference-rollout loops across heterogeneous hardware. The engineer will contribute to open-source RL frameworks, optimize distributed systems for performance and resilience, and collaborate with research and hardware teams to advance AI capabilities. Work spans deep integration with PyTorch, Kubernetes, and high-performance computing environments to enable next-generation AI models.

NVIDIA

Remote Permanent

Senior Deep Learning Engineer

This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, working closely with research scientists, software engineers, and hardware experts. The focus is on improving inference speed, profiling deep learning workloads, and removing bottlenecks for NVIDIA's Cosmos platform, which accelerates physical AI development for autonomous vehicles, robots, and video analytics AI agents.

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

Hybrid Permanent

Senior Deep Learning Engineer

This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, working closely with research scientists, software engineers, and hardware experts. The focus is on improving inference speed and profiling deep learning workloads to identify and remove bottlenecks.

NVIDIA £221,250 – £507,000 pa

Hybrid Permanent

Senior Deep Learning Engineer

This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, focusing on the Cosmos World Foundation Models. You will work closely with research scientists, software engineers, and hardware experts to improve inference speed and deploy models in production settings.

NVIDIA