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...
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...
As the Group IT AI Lead, you will act as the primary technical lead for Microsoft 365 AI and Copilot, shaping the AI strategy and ensuring safe, secure, and scalable adoption. You will provide technical guidance, define standards, and support innovation while maintaining strong security and compliance.
Fellows will engage in full-time, 4-month research projects aligned with Anthropic's AI safety and societal impact goals. They will receive direct mentorship, access to shared workspaces, and a weekly stipend, with the potential to produce public research outputs.
Fellows will engage in full-time, 4-month research projects focused on AI safety, working with Anthropic's mentorship and resources. The program includes access to a shared workspace, a weekly stipend, and funding for compute and research expenses. Fellows will produce public outputs like papers and contribute to the broader AI safety community.
Fellows will engage in full-time, 4-month research projects aligned with Anthropic's AI safety and security priorities. They will receive direct mentorship, access to shared workspaces in Berkeley or London, and a weekly stipend. The program aims to foster AI research and engineering talent, with a focus on producing public outputs like research papers.
Fellows in the ML Systems & Performance workstream will conduct full-time research for 4 months, focusing on empirical projects aligned with Anthropic's research priorities. They will receive direct mentorship, access to shared workspaces, and a weekly stipend, with the goal of producing public outputs such as research papers.
This role involves designing and maintaining end-to-end security architecture for advanced threat detection and response across cloud, network, and endpoint environments. You will lead vendor evaluations, PoCs, and integrate security tooling into SIEM platforms, ensuring security, risk, and compliance requirements are met.
Fellows will engage in full-time, 4-month research projects aligned with Anthropic's AI safety and security priorities. They will receive mentorship, access to shared workspaces, and a weekly stipend, with the goal of producing public outputs like research papers.
As a Senior GPU Networking Architect, you will build and optimize GPU communication kernels for large-scale AI systems, focusing on minimizing latency and maximizing efficiency. You will collaborate with hardware, software, and AI teams to co-design communication strategies and contribute to the development of GPU-aware programming models.
As a Senior GPU Networking Architect, you will build and optimize GPU communication kernels for large-scale AI systems, leveraging deep knowledge of GPU architecture to improve kernel efficiency and minimize latency. You will collaborate with network software, hardware, and AI framework teams to co-design communication strategies and contribute to the evolution of GPU-aware programming models.
As a Senior GPU Networking Architect, you will develop and optimize GPU communication kernels for large-scale AI systems, focusing on minimizing latency and maximizing efficiency. You will collaborate with hardware, software, and AI teams to co-design communication strategies and contribute to the evolution of GPU-aware programming models.
As a Senior GPU Networking Architect, you will focus on building and optimizing GPU communication kernels for large-scale AI systems. Your role involves deep collaboration with network software, hardware, and AI framework teams to co-design communication strategies that align with GPU execution patterns. You will leverage your expertise in GPU architecture and CUDA programming to improve kernel efficiency, minimize latency, and develop GPU-resident communication primitives.
As a Senior GPU Networking Architect, you will build and optimize GPU communication kernels for large-scale AI systems, leveraging deep knowledge of GPU architecture to improve kernel efficiency and minimize latency. You will collaborate with network software, hardware, and AI framework teams to co-design communication strategies and contribute to the evolution of GPU-aware programming models.
