Gpu Programming Jobs in New York (NOW HIRING)

Experience with NVIDIA GPU programming and CUDA * Experience with distributed training frameworks, such as DeepSpeed, FSDL, Ray * Experience with inference frameworks like vLLM * Experience with ...

... programming in Python and managing GPUs * Experience using automation to solve problems and improve process efficiency * Experience working with, troubleshooting, tuning, and deploying various types ...

Hands-on experience with GPU programming (CUDA, Triton, CUTLASS) and performance optimization. * Proven record of deploying or optimizing deep learning models in production environments. * Experience ...

... latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing ... Design, deploy, and scale distributed GPU clusters, from hardware selection and network topology ...

... latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing ... Design, deploy, and scale distributed GPU clusters, from hardware selection and network topology ...

GPU programming experience (CUDA, OAI TRITON or CUTLASS) is a plus. Ways to Stand out from The Crowd * Contribute to deep learning software projects, such as PyTorch, vLLM, and SGLang to drive ...

... GPU programming and libraries (e.g., Pytorch, JAX, CUDA, XLA, Triton, or PTX). • Demonstrated ability to quickly solve complex computational problems, create inspiring technical demos, and ...

Strong knowledge of low-level GPU programming with CUDA, including Tensor Cores, cooperative groups, graphs, and warp-level intrinsics * Expertise in internals of deep-learning frameworks like ...

... programming in Python and managing GPUs * Experience using automation to solve problems and improve process efficiency * Experience working with, troubleshooting, tuning, and deploying various types ...

... latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing ... Summary: Our GPU fleet is one of the fastest-growing and most critical parts of the firm ...

Deep understanding of GPU programming fundamentals. * Solid track record of observable artifacts (e.g., GitHub) showing optimization work. * Experience collaborating on software projects across multi ...

... latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing ... Summary: Our GPU fleet is one of the fastest-growing and most critical parts of the firm ...

... latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing ... Summary: Our GPU fleet is one of the fastest-growing and most critical parts of the firm ...

Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten is building its own GPU infrastructure for large-scale inference. As we move into large scale, high-density ...

Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten is building its own GPU infrastructure for large-scale inference. As we move into large scale, high-density ...

We're now looking for a Sr. Inference Engineer, for GPU Kernel Optimization! What does it take to push every LLM inference operation to its performance ceiling? Our LLM Inference Performance Analysis ...

... GPU programming, or ML infrastructure * Familiarity with the serving (e.g., vLLM, SGLang) and training (e.g., slime, verl, TRL) toolchains. You don't need all of these, but you should be able to go ...

Strong programming skills in Go and/or n Python . * Solid understanding of production engineering ... Preferred Qualifications * Experience with GPU infrastructure , AI/ML platforms , or HPC ...

Expertise in GPU-accelerated programming, including OpenGL, GLSL shaders, CUDA Kernels, or general stream programming concepts. * Experience with NVIDIA GPU programming. * Solid understanding of 2D ...

... GPU programming and libraries (e.g., Pytorch, JAX, CUDA, XLA, Triton, or PTX). • Demonstrated ability to quickly solve complex computational problems, create inspiring technical demos, and ...