Future Tech Jobs
Future Tech Jobs
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define...
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 academic partners secure research funding, deliver strategic insights, and coordinate outreach activities.
This role involves developing and enhancing test automation frameworks for distributed systems, with a focus on QA tooling, CI/CD integration, and validation of UIs, APIs, and cloud infrastructure. The engineer will create test plans, automate testing workflows, and leverage AI/LLM technologies to improve testing efficiency and code quality. A strong emphasis is placed on root cause analysis, process improvement, and collaboration across teams to ensure robust, scalable solutions.
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 in the Generative AI and AI systems space.
As a Senior Quantum Algorithm Researcher, you will lead technical collaborations with supercomputing centers and industry partners to develop hybrid quantum-classical applications. Your role involves driving research in AI for quantum algorithms, contributing to strategic projects, and publishing impactful research while representing NVIDIA at conferences.
This role involves driving performance and scalability for NVIDIA's DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator, DCGM, and NIM. The engineer will diagnose complex distributed systems issues, build automated testing and monitoring tools, and collaborate with AI teams and open-source communities to optimize large-scale AI infrastructure. Work includes deep performance analysis, CI/CD integration, and contributing to upstream Kubernetes and CNCF projects.
This role involves driving performance and scalability of the NVIDIA DGX Cloud software stack, focusing on Kubernetes and NVIDIA AI infrastructure components. The engineer will diagnose complex distributed systems issues, build automated testing and monitoring tools, and contribute to open-source communities. Work includes optimizing large-scale AI workloads from orchestration down to hardware level, with a focus on cost efficiency and reliability.
This role involves driving performance and scalability of 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 and monitoring tools, and collaborate with open-source communities to optimize large-scale AI infrastructure.
This role involves optimizing and scaling NVIDIA's DGX Cloud software stack, focusing on Kubernetes and distributed AI infrastructure. The engineer will diagnose performance bottlenecks, build automated testing frameworks, and collaborate with AI teams and open-source communities to enhance large-scale AI workloads. Key responsibilities include end-to-end system analysis, CI/CD integration, and contributing to upstream projects like Kubernetes and CNCF.
This role involves driving performance and scalability of 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 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.
This role involves driving performance and scalability of the NVIDIA DGX Cloud software stack, focusing on Kubernetes and NVIDIA AI infrastructure. You'll diagnose complex distributed systems issues, develop automated testing and monitoring tools, and contribute to open-source communities. The position emphasizes end-to-end optimization from orchestration to hardware, supporting large-scale AI workloads in cloud environments.
This role involves driving performance and scale characterization of the NVIDIA DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator and DCGM. The engineer will deep-dive into distributed systems issues, build automated testing and monitoring tools, and contribute to open-source communities to optimize large-scale AI infrastructure.
This role involves deep performance and scalability analysis of the NVIDIA DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator, DCGM, and NIM. The engineer will diagnose complex distributed system issues, build automated testing and monitoring tools, and contribute to open-source communities. Work includes optimizing large-scale AI infrastructure for cost and efficiency across cloud platforms.
This role involves driving performance and scalability for NVIDIA's DGX Cloud Kubernetes-based AI infrastructure. The engineer will diagnose complex distributed systems issues, optimize large-scale GPU clusters, and build automated testing and monitoring tools. Collaboration with AI teams and open-source communities is key to advancing AI workload efficiency.
