Future Tech Jobs
Future Tech Jobs
As a Solutions Architect, you will collaborate with NVIDIA Cloud Partners to implement innovative GPU and AI solutions, working closely with customers throughout the lifecycle of large-scale GPU infrastructure projects. You will also support sales efforts, conduct technical meetings, and develop joint solutions to address customer needs.
As a Solutions Architect, you will collaborate with NVIDIA Cloud Partners to implement innovative hardware and software solutions, support customers in building large-scale GPU cloud infrastructure, and drive end-to-end technology integration. You will work closely with sales teams to identify business opportunities and provide technical guidance throughout the customer lifecycle.
This role involves serving as a technical team member on incident response engagements, developing new methods to hunt for bad actors, and performing host and network-based forensics across various platforms. You will work on high-profile investigations for Fortune 100 companies and produce high-quality reports and recommendations for key stakeholders.
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 designing and developing advanced physically based simulation systems for robotics and industrial digital twins. You will collaborate with teams across physics, robotics, digital twins, and GPU software to enhance simulation capabilities, focusing on mechanics problems and integrating with robotics workflows.
This role involves designing and developing advanced physically based simulation systems for robotics and industrial digital twins. You will collaborate with cross-functional teams to integrate modern simulation methodologies into NVIDIA’s scalable simulation stack, focusing on mechanics problems and real-world applications.
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.
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.
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.
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.
