design for AI applications Collaboration and communication skills for cross-functional teams Software/Tools Nvidia AI Enterprise Suite Nvidia Metropolis Open USD Python, TensorFlow, PyTorch GPU computing platforms (CUDA, cuDNN) Containerisation and orchestration tools (Docker, Kubernetes) Cloud platforms supporting AI workloads (AWS, Azure, GCP) Please send your CV to discuss in more detail InterQuest Group is acting as More ❯
testing, and debugging on Linux-based systems. Desirable Skills Familiarity with UML and tools such as IBM Rhapsody. Experience using MATLAB and Python for data analysis. Knowledge of NVIDIACUDA programming. Exposure to OpenDDS or other middleware communication frameworks. More ❯
testing, and debugging on Linux-based systems. Desirable Skills Familiarity with UML and tools such as IBM Rhapsody. Experience using MATLAB and Python for data analysis. Knowledge of NVIDIACUDA programming. Exposure to OpenDDS or other middleware communication frameworks. More ❯
Software environment. Key Skillset Strong C++ knowledge Knowledge of Rhapsody UML Competent with MS word, for reviewing and updating technical documentation. Experience of RTC/EWM would be beneficial CUDA experience would be beneficial Due to the nature of this project the right behaviours are important can-do attitude, proactive & adaptable and strong communicator. More ❯
Bristol, Avon, South West, United Kingdom Hybrid/Remote Options
Certain Advantage
Skillset/experience required: Strong C++ knowledge Knowledge of Rhapsody UML Competent with MS word, for reviewing and updating technical documentation. Experience of RTC/EWM would be beneficial CUDA experience would be beneficial More ❯
storage systems into the existing datacenter environment. Collaborate with DevOps/Platform teams to validate cluster orchestration (Kubernetes, Slurm, Bright Cluster Manager, or equivalents). Validate firmware, drivers, NCCL, CUDA libraries, and container environments for production readiness. Deployment & Delivery Oversight Provide technical leadership across the full deployment life cycle. Partner with datacenter operations to ensure correct rack layouts, cabling … HGX/SuperPod architectures. Deep knowledge of InfiniBand and high-performance networking architectures. Experience with cluster orchestration: Kubernetes , Slurm, PBS, or similar. Familiarity with AI/ML workload requirements, CUDA, Docker/OCI containers, and NVIDIA software stacks (NCCL, CUDA Toolkit). Comfort with Linux systems engineering, hardware validation, and troubleshooting across compute/network layers. Soft Skills More ❯
