5 of 5 Remote/Hybrid NVIDIA Jobs

Experience with hardware-accelerated computing for both CPUs and GPUs (e.g. CUDA, Intel oneAPI, SYCL) • Experience with model deployment software libraries and stacks (e.g. NVIDIA TensorRT, Triton Inference Server, OnnxRuntime) • Experience deploying AI-enabled systems in multiple environments (e.g. cloud, edge devices) • Experience with high-performance computing • Experience interfacing with ...

Experience with hardware-accelerated computing for both CPUs and GPUs (e.g. CUDA, Intel oneAPI, SYCL) • Experience with model deployment software libraries and stacks (e.g. NVIDIA TensorRT, Triton Inference Server, OnnxRuntime) • Experience deploying AI-enabled systems in multiple environments (e.g. cloud, edge devices) • Experience with high-performance computing • Experience interfacing with ...

multi-GPU training and distributed computing frameworks such as TensorFlow Distributed, PyTorch Distributed, and Horovod to accelerate AI/ML workloads. configuring and managing NVIDIA GPU and GCP (TPUs, GPU instances ...

Experience with hardware-accelerated computing for both CPUs and GPUs (e.g. CUDA, Intel oneAPI, SYCL) • Experience with model deployment software libraries and stacks (e.g. NVIDIA TensorRT, Triton Inference Server, OnnxRuntime) • Experience deploying AI-enabled systems in multiple environments (e.g. cloud, edge devices) • Experience with high-performance computing • Experience interfacing with ...

robotic middleware and interfaces (e.g., ROS 2 or similar) Contribute to and leverage simulation, modelling, and validation of robotic systems in virtual environments (e.g., Nvidia Isaac, Gazebo) and physical labs. Collaborate with cross-disciplinary teams to combine software, hardware, and intelligence. Contribute to the full engineering lifecycle, including architecture ...