60 Tensor Jobs Hiring Near You

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 ...

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 ...

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 ...

Tensor parallelism and large model scaling * CUDA, NCCL, GPU architecture * GPU partitioning & optimization (MIG) Kubernetes & ML Serving * Kubernetes-based ML serving platforms * KServe, OpenShift ...

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 ...

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 ...

... tensor core acceleration, and compute/memory overlap • Implement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlap • Identify and resolve performance ...

Tensor RT * Llama.cpp * VLLM #J-18808-Ljbffr

... tensor networks, and Monte Carlo approximation. The project will apply these tools to trained feedforward neural networks, restricted Boltzmann machines, and lightweight LLMs, relating their network ...

Low-level GPU knowledge of PTX, SASS, warps, cooperative groups, Tensor Cores, and the memory hierarchy * Debugging and optimization experience using tools like CUDA GDB, NSight Systems, NSight ...

Develop, refine, and validate high-efficiency quantum circuit simulators, including state-vector, tensor-network, and stabilizer workflows. * Implement noise-aware simulations informed by real-world ...

This is deep performance work: fused kernels, tensor cores, Triton and CUDA, distributed multi-node deployment. It fits someone with expert GPU-optimization skills and a deep understanding of ...

... tensor core acceleration, and compute/memory overlap • Implement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlap • Identify and resolve performance ...

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

You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries ...

Pixel) by seeing technology trends and preparing Tensor architecture for the future critical user journeys, particularly Imaging, GenAI, and Gemini use cases. Additionally, you will ensure that ...

Low-level GPU knowledge of PTX, SASS, warps, cooperative groups, Tensor Cores and the memory hierarchy * Debugging and optimisation experience using tools like CUDA GDB, NSight Systems, NSight ...

Comparing different methods and tools for moment tensor inversion and first motion to calculate fault plane solutions. - Engaging in outside funding activities and promote programs with stakeholders ...

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 ...