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’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with deep expertise in AI solutions and scalable data center infrastructure. Our innovations are powering the era of AI, and we need a technical leader to drive the...
As a Platform Engineer, you will architect and maintain the infrastructure that enables the deployment of world-class AI solutions. You will work closely with the Applied AI team to build and refine data science, MLOps, and deployment tooling, ensuring high performance and seamless integration into diverse client environments.
This role involves leading end-to-end delivery of high-impact AI projects for clients in regulated industries, acting as the main link between technical teams and customers. The Delivery Manager ensures timely delivery, maximises value, and fosters strong client relationships while identifying new business opportunities. The role emphasizes responsible AI deployment and innovation within complex environments.
This role involves delivering technical AI and machine learning curriculum to apprentices through workshops and mentoring, while fostering engagement and professional growth. The trainer will cover core topics including ML lifecycle, data ethics, model deployment, and MLOps, ensuring learners develop practical skills aligned with industry needs. Continuous improvement of learning content and collaboration with coaching teams are key to driving apprentice success.
This role involves leading the development and strategy of AI-focused apprenticeship products, with a focus on generative AI and agentic systems. The lead will shape product roadmaps, align with market and policy trends, and ensure high-quality, technically robust learning experiences. Collaboration across product, delivery, and policy teams is key to scaling effective upskilling solutions in a fast-evolving AI landscape.
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.
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.
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.
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.
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 remove bottlenecks, contributing to the development of physical AI for applications like autonomous vehicles and video analytics.
As a Senior Software K8S Engineer at NVIDIA, you will design and implement new features to accelerate network and storage in the Kubernetes ecosystem. You will work closely with open source communities, participate in relevant working groups, and collaborate with various teams across NVIDIA to build high-performance and scalable cloud platforms using NVIDIA's advanced technologies.
As a Senior Software K8S Engineer at NVIDIA, you will design and implement new features to accelerate network and storage in the Kubernetes ecosystem. You will work closely with open source communities, participate in relevant working groups, and collaborate with various teams across NVIDIA to build high-performance and scalable cloud platforms using NVIDIA's advanced technologies.
This role involves designing and implementing new features to accelerate network and storage in the Kubernetes ecosystem, working closely with open source communities and various teams across NVIDIA. The position focuses on high-performance and scalable cloud platforms using NVIDIA's advanced technologies.
As a Senior Software K8S Engineer, you will design and implement new features to accelerate Network and Storage in the Kubernetes ecosystem, working closely with open source communities and various teams across NVIDIA. Your role involves hands-on development, coordination across organizational boundaries, and a deep understanding of network protocols and containerization technologies.
