2 gpu inference performance engineer jobs at 2 companies in Washington, DC

1w
Save
Mark Applied
Hide
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/yr OnsiteFull Time
Applied Intuition
Applied Intuition: Developing software and simulation infrastructure for autonomous vehicles.
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.
FSDP, DeepSpeed, Megatron, NCCL, NVIDIA Triton Inference Server, TensorRT, ONNX Runtime, Ray, Python, C++, CUDA, Triton, CUTLASS, Nsight Systems, Nsight Compute, PyTorch Profiler, perf, Kubernetes, Slurm, ROS, OpenCV
2w
Save
Mark Applied
Hide
Engineering Manager, Deep Learning Inference
Santa Clara or Washington or Texas or New York or Washington or Massachusetts
$184k-$357k/yr RemoteFull Time
NVIDIA
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
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.
vLLM, SGLang, FlashInfer, CUDA, Triton, CUTLASS, NIXL, NCCL, NVSHMEM, C/C++, Python, PyTorch, TensorRT-LLM, Agile