Future Tech Jobs
Future Tech Jobs
This role involves leading the research, design, and implementation of security architecture for NVIDIA's next-generation networking products. You will collaborate with diverse teams to meet security requirements, develop hardware and software solutions, and work with partners on open-source software and trusted 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...
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...
In this role, you will collaborate with robotics companies, surgical robotics teams, and researchers to integrate AI, simulation, and accelerated computing into next-generation medical and surgical robotics systems. You will develop proof-of-concept demos, build strategic relationships, and help customers optimize their robotics and AI workloads using NVIDIA platforms like Omniverse and Isaac Sim.
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. You'll optimize distributed systems for performance, fault tolerance, and efficiency, working closely with AI researchers and contributing to open-source frameworks like VeRL, Miles, and TorchTitan. The role emphasizes deep collaboration across teams to advance AI capabilities through systems innovation.
This role involves designing and building scalable reinforcement learning post-training infrastructure that operates efficiently from single-GPU experiments to large-scale distributed systems. You'll optimize training-inference-rollout loops across heterogeneous hardware, contribute to open-source RL frameworks like VeRL and TorchTitan, and collaborate with AI researchers and infrastructure teams to improve distributed runtimes such as Ray and Monarch. The position emphasizes fault tolerance, elastic scaling, and integration with next-generation hardware and deep learning tools.
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 contribute to open-source RL frameworks, optimize distributed systems performance, and collaborate with research and hardware teams to advance AI capabilities. Key challenges include fault tolerance, elastic scaling, and efficient coordination of models across large-scale GPU, CPU, and LPU environments.
This role involves designing, implementing, and maintaining large-scale HPC and AI clusters, working with the latest GPU and deep learning technologies. You will collaborate with researchers, developers, and customers to optimize system performance and develop new solutions.
This role involves designing, implementing, and maintaining large-scale HPC and AI clusters, including monitoring, logging, and alerting. You will work with the latest GPU and deep learning technologies, develop CI/CD pipelines, and collaborate with researchers and developers to improve workflows and create innovative solutions.
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job/workload schedules, and developing CI/CD pipelines. You will work closely with HPC, OS, GPU compute, and systems specialists to architect and optimize performance platforms, and support R&D activities and POCs.
This role involves designing, implementing, and maintaining large-scale HPC and AI clusters, working with the latest GPU and deep learning technologies. You will collaborate with researchers, developers, and customers to optimize system performance, develop automation tools, and support R&D activities.
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job schedules, developing CI/CD pipelines, and automating deployment and monitoring. You will work closely with HPC, OS, GPU compute, and systems specialists to architect and optimize performance platforms for AI and GPU computing.
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job/workload schedules, and developing CI/CD pipelines. You will work closely with HPC, OS, GPU compute, and systems specialists to architect and optimize performance platforms, and support R&D activities.
As a Senior Developer Relations Manager, you will drive the adoption of advanced AI technologies, focusing on visual understanding and operational intelligence. You will build strategic relationships with ISVs, enterprise leaders, and ecosystem partners, provide technical leadership, and guide the development of innovative AI applications in video analytics, safety, and operational intelligence.
