10 of 10 NVIDIA Jobs in the East of England

TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise, Dell AI Factories) Understanding of data engineering practices (ETL, data lakes, big data tools like Spark). Knowledge of designing scalable, distributed systems. ...

work and good attention to detail with an imaginative approach to problem solving. The ability to work independently with minimal supervision. Desirable: Experience using NVIDIA Jetson or similar AI computing platforms. Wireless communications such as Bluetooth, WLAN, cellular, low-power radio. Wired communications such as CAN, RS232, RS485 ...

fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored ...

fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored ...

CommonAI CIC in the UK is seeking a GPU Kernel and Performance Engineer to accelerate research models on NVIDIA GPUs. You will turn model designs into efficient CUDA/Triton code and measure memory traffic on real hardware, with a focus on performance at scale. You will collaborate with ...

CommonAI CIC is seeking a GPU Kernel and Performance Engineer to accelerate research models on real hardware, primarily NVIDIA GPUs. You will join a compact team turning new model designs into efficient GPU code, measuring time and memory traffic on real hardware and expanding to other accelerators as needed. ...

considering relevant options, considering potential commercial risks to both CDW and the customer What we expect of you HPC architecture: CPU and GPU compute (NVIDIA, AMD, Intel and Arm-based platforms), high-performance interconnects (InfiniBand and high-performance Ethernet, including RoCE), and parallel storage (for example Lustre, WEKA, VAST Data … MLPerf) and application performance profiling. Hybrid HPC or cloud bursting on Azure, AWS or Google Cloud. Relevant certifications, such as: LPIC-3, RHCA, NVIDIA, including the AI Advisor certification. Data centre design qualifications such as TOGAF Knowledge of sustainability reporting for high-density computing. Experience in financial services or quantitative ...

systems. The Opportunity We are seeking a GPU Kernel and Performance Engineer to make our research models run fast on real hardware, primarily NVIDIA GPUs. Our research team works on reducing the complexity of large language models while retaining their performance. Some of this work informs our analyses … model designs into efficient GPU code, then measure how much time and memory traffic they cost on real hardware. Our training runs on NVIDIA GPUs, and we also expect to work with other AI accelerators, so there is scope to learn new chips and programming models as the work develops. ...

hire a senior CPU Compiler performance Engineer for an exciting and fun role at NVIDIA. We craft outstanding compilers that realise the potential of NVIDIA's CPUs designed for the world's largest AI and computing markets: https://www.nvidia.com/en-in/data-center/grace …/. Our compiler organisation makes its mark on every CPU, GPU and compute unit that NVIDIA builds. Would you like to be part of this outstanding organisation? We need you to design compiler and hardware software together including developing new technologies to help with hardware software co-design. These ...

NVIDIA Corporation in Cambridge seeks a senior CPU compiler performance engineer to design and optimize compiler and hardware software for AI and HPC workloads across NVIDIA Data Centre platforms. You will work with a distributed team to improve CPU compiler toolchains, analyze AI workloads, contribute optimizations, and collaborate with upstream ...