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Nvidia Senior Deep Learning Engineer 
Poland, Masovian Voivodeship, Warsaw 
50536283

15.10.2025
Poland, Warsaw
Poland, Remote
Netherlands, Remote
UK, Remote
Switzerland, Remote
time type
Full time
posted on
Posted 5 Days Ago
job requisition id

We are looking for aSenior Deep Learning Engineerto help bring Cosmos World Foundation Models from research into efficient, production-grade systems. You’ll focus on optimizing and deploying models for high-performance inference on diverse GPU platforms. This role sits at the intersection of deep learning, systems, and GPU optimization - working closely with research scientists, software engineers, and hardware experts.


What you'll be doing:

  • Improve inference speed for Cosmos WFMs on GPU platforms.

  • Effectively carry out the production deployment of Cosmos WFMs.

  • Profile and analyze deep learning workloads to identify and remove bottlenecks.

What we need to see:

  • 5+ years of experience.

  • MSc or PhD in CS, EE, or CSEE or equivalent experience.

  • Strong background in Deep Learning.

  • Strong programming skills in Python and PyTorch.

  • Experience with inference optimization techniques (such as quantization) and inference optimization frameworks, one of: TensorRT, TensorRT-LLM, vLLM, SGLang.

Ways to stand out from the crowd:

  • Familiarity with deploying Deep Learning models in production settings (e.g., Docker, Triton Inference Server).

  • CUDA programming experience.

  • Familiarity with diffusion models.

  • Proven experience in analyzing, modeling, and tuning the performance of GPU workloads, both inference and training.