5 gpu ai kernel development engineer jobs at 3 companies in Seattle, WA
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Senior Software Engineer - GPU Local AI Platforms
Santa Clara or Westford or Austin or Durham or Seattle
$224k-$431k/yr OnsiteFull Time
12+ YOE12+ years software engineering experience in GPU computing or ML systems, strong Python or C++ skills, GPU kernel optimization (CUDA/Triton), container engineering, and LLM inference knowledge.
Python, C++, CUDA, Triton, Docker, OCI, NCCL, RCCL, NVIDIA Container Toolkit
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Senior Software Engineer - GPU Local AI Platforms
Santa Clara or Austin or Westford or Durham or Seattle
$224k-$431k/yr OnsiteFull Time
12+ YOE12+ years software engineering experience with GPU computing or ML systems, strong Python or C++ skills, GPU kernel optimization (CUDA/Triton), container engineering, and LLM inference knowledge.
Python, C++, CUDA, Triton, Docker, OCI, NVIDIA Container Toolkit, NCCL, RCCL
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Senior Software Engineer - GPU Local AI Platforms
Santa Clara or Austin or Westford or Durham or Seattle
$224k-$431k/yr OnsiteFull Time
12+ YOERequires BS, MS, PhD, or equivalent experience; 12+ years of software engineering; strong Python or C++; GPU kernel optimization; LLM inference, containers, and performance analysis expertise.
Python, C++, CUDA, Triton, Docker, OCI, NVIDIA Container Toolkit, NCCL, RCCL, CI/CD
2mo
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Sr. System Development Engineer, Edge & High Performance Accelerator Servers for AI/ML
Austin or Seattle or Cupertino
$151k-$235k/yr OnsiteFull Time
6+ YOE6+ years systems/software development and systems design experience; strong programming in C++, C#, Java, Python, Golang, PowerShell, or Ruby; Linux/Unix experience; experience building reliable, scalable automation, diagnostics, and CI/CD for server fleets.
C++, C#, Java, Python, Golang, PowerShell, Ruby, Linux, Linux kernel, CI/CD, BMC/IPMI, PCIe, NVMe, GPU, ARM, x86
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Software Engineer, AI Kernels & Performance Optimization — MTIA Software
Bellevue or Menlo Park or New York City
$184k-$257k/yr OnsiteFull Time
6+ YOEBachelor's degree or equivalent practical experience; 6+ years in HPC, accelerator kernels, compiler backends, or systems performance; C++ and Python proficiency; parallel architecture kernel optimization experience.
C++, Python, CUDA, ROCm/HIP, SYCL/OpenCL, NCCL, RCCL, MLIR, LLVM, TVM, XLA, Halide, PyTorch, torch.compile, Inductor, vLLM, SGLang, CUTLASS, cuBLAS, cuDNN, CUTE, Triton, Helion, ThunderKittens, oneDNN, Composable Kernel, FP8, E4M3, E5M2, MX, INT8, INT4, GEMM, DMA