5 inference optimization engineer jobs at 2 companies in District of Columbia
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Machine Learning Performance Engineer - Offboard Training & Inference
Sunnyvale or Washington, D.C. or San Diego or Fort Walton Beach or Ann Arbor or London or Stuttgart or Munich or Stockholm or Bangalore or Seoul or Tokyo
$215k-$285k/yrOnsiteFull Time
Applied Intuition: Providing digital infrastructure for physical AI and autonomy.
ML performance engineering experience with distributed training, batch inference, GPU or accelerator optimization, Python, and C++ or another systems language; strong debugging and analytical skills required.
Santa Clara or Washington or Texas or New York or Washington or Massachusetts
$184k-$357k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
6+ YOE3+ MgmtRequires an MS, PhD, or equivalent experience in computer science, engineering, or related field; 6+ years software development; 3+ years technical leadership or engineering management; C/C++, GPU programming, and optimization experience.
Santa Clara or Washington or Texas or New York or Washington or Massachusetts
$184k-$357k/yrRemoteFull Time
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
6+ YOE3+ MgmtRequires MS, PhD, or equivalent experience; 6+ years software development; 3+ years technical leadership or engineering management; C/C++, GPU programming, performance optimization, and production deep learning deployment.
Santa Clara or Georgia or District of Columbia or Illinois or California or Massachusetts
$224k-$431k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
6+ YOE3+ MgmtMS/PhD or equivalent, 6+ years software experience with 3+ years technical leadership; strong C/C++ and Python; GPU programming and performance optimization experience; experience with deep learning model deployment.
Santa Clara or Washington or Georgia or Illinois or California or Massachusetts
$224k-$431k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
6+ YOE3+ MgmtMS/PhD or equivalent,6+ years software development with 3+ years technical leadership,strong C/C++ and Python,experience with GPU programming (CUDA,Triton,CUTLASS) and deploying/optimizing deep learning models,Agile experience.