6 of 6 Remote/Hybrid CUDA Jobs in the UK

professional industry setting, where you have been instrumental in: building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch/CUDA, ideally with exposure to JAX, NumPy/SciPy), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data ...

TensorFlow; comfortable with distributed training (DeepSpeed/FSDP/SLURM/K8s). Experience in deep learning, NLP or LLMs; bonus for CUDA or data‐pipeline chops. Strong software‐design instincts: testing, code review, CI/CD. Self‐starter, low‐ego, collaborative. Benefits France 💰 Competitive cash salary and equity ...

will need Skills in Windows and Linux native software (C/C++), dynamic languages like python, GPU-acceleration and 3D graphics (Open GL, GLSL, CUDA, Vulkan), A strong software background including software architecture design, concurrency, synchronisation, and database design An appreciation of or the desire to learn the physics ...

/RTSP/TCP/UDP – deep working knowledge Experience with SS7, DIAMETER, VoLTE, SCTP or streamed video Unreal Engine development (C++ backend) CUDA and AI development GStreamer, FFmpeg, WebRTC and hardware-accelerated video pipelines MSSQL and large databases, HTML, Fluent 2 IoT and edge-device integration, distributed systems ...

scientific workloads) Provision and optimize GPU/TPU-based infrastructure on GCP (A3/A4, TPU pods) Analyze performance across frameworks (PyTorch, TensorFlow, JAX, CUDA, ROCm) Identify system bottlenecks (compute, memory, network, I/O) Build automation tools for benchmarking and reporting … Collaborate with teams to align workloads with optimal architecture Required Skills Strong experience with GCP (Compute Engine, GKE, Storage, Networking) Hands-on with NVIDIA (CUDA/NCCL), AMD (ROCm), and TPUs (XLA/JAX/TF) Solid knowledge of HPC concepts (MPI, RDMA, InfiniBand, Slurm/Kubernetes) Experience with ...

scientific workloads) Provision and optimize GPU/TPU-based infrastructure on GCP (A3/A4, TPU pods) Analyze performance across frameworks (PyTorch, TensorFlow, JAX, CUDA, ROCm) Identify system bottlenecks (compute, memory, network, I/O) Build automation tools for benchmarking and reporting … Collaborate with teams to align workloads with optimal architecture Required Skills Strong experience with GCP (Compute Engine, GKE, Storage, Networking) Hands-on with NVIDIA (CUDA/NCCL), AMD (ROCm), and TPUs (XLA/JAX/TF) Solid knowledge of HPC concepts (MPI, RDMA, InfiniBand, Slurm/Kubernetes) Experience with ...