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Principal System Architect, GPU
Santa Clara or Hillsboro or Redmond or United States
$272k-$431k/yr HybridFull Time
15+ YOE15+ years in SoC architecture or leadership; proven track record delivering high-volume SoCs; power/perf modeling; strong leadership and communication; MS in CS/EE or related.
C++, SystemVerilog
2mo
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Silicon Validation Software Engineer- GPU IP Validation and Integration
Beaverton, Oregon, United States
OnsiteFull Time
Develop graphics validation software and integrate it into system-level test environments for GPU IP and SoC validation; collaborate with cross-disciplinary engineering teams.
1mo
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Senior Manager - Advanced Technology
Portland, Oregon, United States
$141k-$177k/yr OnsiteFull Time
10+ YOE10+ years technology experience with 10+ years in advanced computing/HPC/GPU or large-scale data/AI systems; hands-on with GPU/HPC orchestration, Kubernetes, cloud (Azure, AWS); leadership of cross-functional teams and vendor management.
Kubernetes, Azure, AWS, HPC, GPU, SCADA, PI/data historians
1w
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Sr. Inference Optimization Engineer (local / edge runtime)
Santa Clara or Hillsboro or Folsom or Phoenix
$195k-$361k/yr HybridFull Time
8+ YOE8+ years software development; strong C++ and/or Python; experience with LLM inference, profiling and optimizing CPU/GPU performance; Linux and low-level debugging expertise.
C++, Python, llama.cpp, vLLM, ggml, Vulkan, SYCL, oneAPI, CUDA, Metal, SIMD, Linux, GGUF, AWQ, GPTQ
2w
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Principal AI Accelerator Tools Development Engineer
Mountain View or Hillsboro or Redmond
$143k-$275k/yr HybridFull Time
8+ YOEMaster's or Bachelor's in EE/CE/ME or equivalent and 7–8+ years developing and optimizing AI/GPU/accelerator workloads, building stress/validation tooling, and performance analysis.
PyTorch, Triton, Python, C++, LLVM, MLIR, MAIA SDKs, HPL
1mo
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AI Solutions Architect - West Region
Phoenix or San Diego or San Francisco or Los Angeles or Denver or Portland or Seattle
$185k-$235k/yr OnsiteFull Time
10+ YOEMinimum 10 years in technical pre-sales or solutions architecture; hands-on AI/ML infrastructure design experience; ability to whiteboard end-to-end AI architectures; bachelor’s degree required; experience with NVIDIA systems and public cloud platforms.
NVIDIA DGX/HGX, CUDA, AI Enterprise, NeMo, Omniverse, NVAIE, AWS, Azure, GCP, Dell, HPE, Cisco, NetApp, Pure Storage, Vast Data