Future Tech Jobs
Future Tech Jobs
As a Senior HPC and AI Network Software Architect, you will design and develop scalable software systems for distributed AI training and inference, focusing on performance, efficiency, and reliability. You will collaborate with AI framework teams and contribute to hardware and system-level innovations to enable cutting-edge AI capabilities at scale.
As a Senior HPC and AI Network Software Architect, you will focus on building scalable AI infrastructure for distributed training and real-time inference. You will develop and optimize communication and runtime capabilities, collaborate with AI framework teams, and innovate across hardware and software to enhance performance and reliability at scale.
This role involves leading a team of security analysts in CrowdStrike's Falcon Complete service, providing real-time threat detection and incident response for customers. The Principal Analyst will mentor junior staff, oversee high-severity incidents, improve detection processes, and ensure technical excellence across Windows, Mac, Linux, and container environments. It’s a hands-on leadership position within a 24/7 virtual SOC, combining deep technical analysis with coaching and strategic improvement.
This role involves real-time monitoring, analysis, and response to cybersecurity incidents using CrowdStrike’s AI-native platform. The analyst will conduct in-depth investigations across Windows, Mac, and Linux environments, perform malware analysis, and support incident remediation. The position emphasizes proactive threat detection, process improvement, and contributing to a culture of innovation and responsible AI adoption within a global security operations context.
This role involves designing and developing advanced physically based simulation systems for robotics and industrial digital twins. You will collaborate with teams across physics, robotics, digital twins, controls, and GPU software to integrate modern simulation methodologies into NVIDIA’s scalable simulation stack, focusing on high-fidelity mechanics problems and real-world applications.
Architect and develop scalable reinforcement learning post-training infrastructure that operates across GPUs, CPUs, and LPUs, from single-node experimentation to multi-thousand-node production systems. Work closely with AI researchers and infrastructure teams to optimize distributed training-inference-rollout loops, improve open-source RL frameworks, and integrate with distributed runtimes like Ray and Monarch. Focus on performance, fault tolerance, elastic scaling, and hardware-aware execution for next-generation AI workloads.
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 optimize distributed systems for performance, fault tolerance, and efficiency, working closely with AI researchers and infrastructure teams. Key responsibilities include improving open-source RL frameworks, enabling CPU- and GPU-accelerated workloads, and collaborating with hardware and compiler teams to support next-generation AI capabilities.
This role involves designing and building scalable reinforcement learning (RL) post-training infrastructure that supports the full lifecycle of training-inference-rollout loops across heterogeneous hardware. The engineer will contribute to open-source RL frameworks, optimize distributed systems for performance and resilience, and collaborate with research and hardware teams to advance AI capabilities. Work spans deep integration with PyTorch, Kubernetes, and high-performance computing environments to enable next-generation AI models.
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 and operational tasks.
NVIDIA is looking for an experienced HPC DevOps and Network Engineer to help us build the supercomputers and HPC clusters of the future. As a Senior HPC DevOps Engineer, you'll be a key player in groundbreaking advancements in artificial intelligence...
NVIDIA is looking for an experienced HPC DevOps and Network Engineer to help us build the supercomputers and HPC clusters of the future. As a Senior HPC DevOps Engineer, you'll be a key player in groundbreaking advancements in artificial intelligence...
NVIDIA is looking for an experienced HPC DevOps and Network Engineer to help us build the supercomputers and HPC clusters of the future. As a Senior HPC DevOps Engineer, you'll be a key player in groundbreaking advancements in artificial intelligence...
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 operational tasks.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, compiler development, and benchmarking. This role involves collaborating with cross-functional teams to push the boundaries of accelerated computing for AI, contributing to open-source projects, and conducting original research.
