Latest NVIDIA 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

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 CPU Compiler Performance Engineer

Design and optimize compiler technologies for NVIDIA's CPUs, focusing on performance improvements for AI and high-performance computing workloads. Collaborate with distributed teams and open-source communities to advance hardware-software co-design, using tools like LLVM and GCC. Work on pre-silicon compiler development and contribute to next-generation compute architectures.

NVIDIA Cambridge, United Kingdom

Senior CPU Compiler Performance Engineer

Design and optimize compiler technologies for NVIDIA's next-generation CPUs, focusing on hardware-software co-design to enhance performance for AI and high-performance computing workloads. Collaborate with global teams and open-source communities to improve compiler toolchains and influence future CPU architectures. Work at the intersection of compiler engineering and low-level performance analysis in a cutting-edge computing environment.

NVIDIA

Senior CPU Compiler Performance Engineer

Design and optimize compiler technologies for NVIDIA's CPUs, focusing on performance improvements for AI and HPC workloads. Collaborate with distributed teams and open-source communities to advance hardware-software co-design. Work on cutting-edge compiler toolchains targeting next-generation compute architectures.

NVIDIA

Senior CPU Compiler Performance Engineer

This role involves developing high-performance CPU compilers for NVIDIA's next-generation computing platforms, with a focus on AI and HPC workloads. You'll work on hardware-software co-design, optimise compiler toolchains, and contribute to open-source projects like LLVM and GCC. Collaboration with distributed teams and upstream communities is central to improving performance across NVIDIA's data centre and supercomputing technologies.

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

Relational Foundation Model Engineer, Modern Data Stack

Design and experiment with 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 training to optimization and inference—applying the foundation model to real-world use cases like fraud detection, forecasting, and recommendation systems. Collaborate with researchers and engineers to advance enterprise AI beyond traditional single-table paradigms.

NVIDIA

Senior Enterprise Sales Account Manager, Media and Entertainment

This role involves driving sales and strategic partnerships within the Media and Entertainment sector, focusing on identifying growth opportunities and promoting NVIDIA's computing platform. The individual will work closely with key customers and partners to develop use cases, demonstrate value, and expand market presence. Success requires a blend of technical understanding, relationship-building, and ecosystem development in a rapidly evolving AI-driven landscape.

NVIDIA United Kingdom

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