60 Tensor Jobs Hiring in California

Write Tensor Core-based deep learning kernels such as grouped-GEMM, attention, and convolution using CUTLASS CUDA C++ and Python DSL for Blackwell, Rubin, and future architectures. * Optimize kernels ...

Strong ability to handle tensor pre-processing and post-processing and integrate AI models into end-to-end pipelines across inputs such as camera, audio, and text. * Strong background in Linux system ...

Lead the definition of mechanisms for efficient movement of tensor activations, weights, and outputs through on-chip and off-chip memory pathways and high-throughput DMA architecture. * Partner ...

We're looking for someone who finds joy in memory hierarchies, tensor cores, and profiler output. While San Francisco and Boston are preferred, we are open to other locations. What We're Looking For ...

If you are passionate about designing abstractions for Tensor Core and related GPU hardware features in MLIR, Python, and C++ that enable writing high performance kernels, apply to join the CUTLASS ...

Write Tensor Core-based deep learning kernels such as grouped-GEMM, attention, and convolution using CUTLASS CUDA C++ and Python DSL for Blackwell, Rubin, and future architectures. * Optimize kernels ...

About the role Own verification of our AI compute core - tensor pipelines, MAC arrays, accumulator logic, and the compute ↔ memory interconnect. Work with chip-design and software teams driving ...

About the role Own verification of our AI compute core - tensor pipelines, MAC arrays, accumulator logic, and the compute ↔ memory interconnect. Work with chip-design and software teams driving ...

... tensor parallelism, and hardware abstraction layers. Qualifications : Required : • Experience building and scaling inference systems for LLMs or multimodal models. • Worked with GPU-based ML ...

Strong ability to handle tensor pre‑processing and post‑processing and integrate AI models into end‑to‑end pipelines across inputs such as camera, audio, and text. * Strong background in ...

Your work will span the entire stack-from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization. Strong candidates will have a track record of delivering ...

Deep expertise in 3D parallelism (Data, Tensor, Pipeline). * Experience managing SLURM or Kubernetes-based GPU clusters. * Strong systems engineering background (C++, CUDA, Python)

Torch, Tensor Flow Experience in Visual SLAM (Simultaneous Localization and Mapping), YOLO, Faster R CNN and deep learning models Knowledge of NVIDIA ISSAC Sim, Omniverse to develop the models Basic ...

Model tensor placement, tiling across processing elements, local memory residency, and data movement across memory tiers. * Model sharding and collective boundary communication across multi-die ...

Model tensor placement, tiling across processing elements, local memory residency, and data movement across memory tiers. * Model sharding and collective boundary communication across multi-die ...

Model tensor placement, tiling across processing elements, local memory residency, and data movement across memory tiers. * Model sharding and collective boundary communication across multi-die ...

Strong experience with AI and GenAI inference frameworks including Py-Torch, TensorFlow, ONNX Runtime, and Llama CPP, with solid understanding of AI fundamentals, model architectures, tensor layouts ...

Advanced experience in a tensor/array computation library like PyTorch, TensorFlow, Jax, or similar * A detailed understanding of transformer training parallelism strategies like data parallelism ...

Strong experience with AI and GenAI inference frameworks including Py-Torch, TensorFlow, ONNX Runtime, and Llama CPP, with solid understanding of AI fundamentals, model architectures, tensor layouts ...

Model tensor placement, tiling across processing elements, local memory residency, and data movement across memory tiers. * Model sharding and collective boundary communication across multi-die ...