Future Tech Jobs
Future Tech Jobs
This role involves working with leading ISVs and M&E organizations to build AI platforms for video content creation and analysis. Responsibilities include driving technology adoption, leading PoCs, designing scalable inference solutions, and optimizing AI techniques across diverse environments.
This role involves working with leading ISVs and M&E organizations to build AI platforms for video content creation and analysis. Responsibilities include designing scalable inference solutions, leading PoCs, and optimizing AI techniques across diverse environments, from Edge devices to Cloud deployments.
This role involves working with leading ISVs and M&E organizations to build AI platforms for video content creation and analysis. Responsibilities include driving technology adoption, leading PoCs, and optimizing AI techniques across diverse environments, from Edge devices to Cloud deployments.
As a Solution Architect in NVIDIA’s EMEA Media & Entertainment team, you will work closely with leading ISVs and M&E organizations to build AI platforms that enhance video content creation and analysis. Your responsibilities include driving technology adoption, designing scalable inference solutions, and leading customer PoCs for complex use cases like video summarization and generative AI workflows.
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.
As a Senior HPC Performance Engineer, you will conduct in-depth performance analysis on large multi-GPU and multi-node clusters, evaluate proof-of-concepts, and triage performance issues. You will collaborate with a dynamic team across multiple time zones to advance the state of the art in GPU communication libraries and HPC applications.
As a Senior HPC DevOps Engineer, you will design, implement, and maintain large-scale HPC and AI clusters, focusing on state-of-the-art monitoring, logging, and alerting systems. You will work closely with HPC, OS, GPU compute, and systems specialists to architect and develop performance platforms, streamline CI/CD pipelines, and automate complex networking and deployment processes.
As a Senior HPC DevOps Engineer, you will design, implement, and maintain large-scale HPC and AI clusters, focusing on state-of-the-art monitoring, logging, and alerting systems. You will work closely with HPC, OS, GPU compute, and systems specialists to architect and develop performance platforms, streamline CI/CD pipelines, and automate complex networking tasks.
As a Senior HPC DevOps Engineer, you will design and maintain large-scale HPC and AI clusters, implement infrastructure as code, streamline CI/CD pipelines, and automate complex networking and operational tasks. You will collaborate with HPC, OS, GPU compute, and systems specialists to drive innovation and improve workflows.
As a Senior HPC DevOps Engineer, you will design, implement, and maintain large-scale HPC and AI clusters, focusing on infrastructure as code, CI/CD pipelines, and automation. You will collaborate with HPC, OS, GPU compute, and systems specialists to architect and optimize performance platforms, while also leading R&D activities and sharing best practices.
As a Senior HPC DevOps Engineer, you will design, implement, and maintain large-scale HPC and AI clusters, focusing on state-of-the-art monitoring, logging, and automation. You will collaborate with HPC, OS, GPU compute, and systems specialists to architect and optimize performance platforms, while also leading R&D activities and sharing best practices.
As a Senior HPC DevOps Engineer, you will design, implement, and maintain large-scale HPC and AI clusters, focusing on state-of-the-art monitoring, logging, and alerting systems. You will work closely with HPC, OS, GPU compute, and systems specialists to develop and optimize performance platforms, automate deployment processes, and troubleshoot complex issues from bare metal to application level.
This role involves designing and maintaining scalable cloud infrastructure for a machine learning-powered ID verification platform. The engineer will automate deployment pipelines, enhance system reliability, and collaborate with security teams to ensure robust, production-grade cloud environments. Emphasis is placed on innovation, mentorship, and continuous improvement within an Agile DevOps culture.
