Senior Deep Learning Engineer

Nvidia Corporation

Multiple Locations
Base: 221,250 pln - 383,500 pln or 292,500 pln - 5...
Hybrid
Deep learning
Gpu optimization
Python
Nvidia Corporation is seeking a Senior Deep Learning Engineer to optimize and deploy their Cosmos World Foundation Models for high-performance inference on GPU platforms. The ideal candidate should have extensive experience in deep learning, Python programming, and inference optimization techniques

Job Summary

  • Focus on optimizing and deploying research-grade Foundation Models into efficient, production-grade systems for high-performance inference on diverse GPU platforms.
  • Work at the intersection of deep learning, systems, and GPU optimization, collaborating with research scientists, software engineers, and hardware experts.
  • NVIDIA Cosmos is a platform purpose-built for physical AI, featuring powerful generative models for autonomous vehicles, robots, and video analytics.

Matching Summary

Match Score: 85

Nvidia Corporation is seeking a Senior Deep Learning Engineer to optimize and deploy their Cosmos World Foundation Models for high-performance inference on GPU platforms. The ideal candidate should have extensive experience in deep learning, Python programming, and inference optimization techniques.

Salary

Base: 221,250 PLN - 383,500 PLN or 292,500 PLN - 507,000 PLN; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Deep Learning
  • GPU optimization
  • Python
  • PyTorch
  • Inference optimization techniques
  • Inference optimization frameworks

Nice-to-have

  • Production deployment of DL models
  • CUDA programming experience
  • Diffusion models familiarity
  • GPU workload performance tuning

Key Requirements

  • 5+ years of experience
  • MSc or PhD in CS, EE, or CSEE or equivalent experience
  • Experience with TensorRT, TensorRT-LLM, vLLM, or SGLang

Work Rights

Not specified

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