6 deep learning engineer jobs at 2 companies in Scappoose, OR
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Senior Deep Learning Software Engineer, DLSim
Santa Clara or Austin or Hillsboro
$152k-$288k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
3+ YOEMaster's in computer science, computer engineering, or related STEM field; 3+ years in compiler optimization or architectural simulation; MLIR, C/C++, and Python experience required. PhD preferred.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
3+ YOEMaster's or equivalent in computer science, computer engineering, or related STEM field; 3+ years in compiler optimization or architectural simulation; MLIR and compiler infrastructure expertise; C/C++ and Python proficiency.
Santa Clara or Austin or Hillsboro or Durham or Seattle
$152k-$288k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
5+ YOE5+ years software development experience, strong C/C++ skills, knowledge of 3D graphics APIs and GPU architecture, experience with AI/deep learning, BS/MS in CS/CE or equivalent experience.
Skyworks SolutionsNASDAQ: SWKS: Designs and manufactures analog and mixed-signal semiconductor solutions.
Current degree-seeking student with programming experience in Python and C/C++, deep learning framework experience, Linux proficiency, neural network knowledge, and familiarity with audio or speech signals.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
MS or PhD in CS/CE (pursuing or recent grad), experience with computational methods for semiconductor manufacturing/design, ML/AI and deep learning exposure, low-level performance optimization, parallel programming (CUDA), strong algorithms and systems skills.
Santa Clara or Austin or Hillsboro or Texas or Oregon or California
$224k-$431k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
10+ YOE10+ years in system architecture designing scalable server platforms at the SW/HW interface; experience with HPC/Deep Learning workloads, out-of-band/in-band management, strong communication, and mentoring; BS/MS in Computer Engineering/Computer Science or equivalent.