NVIDIA

Senior Deep Learning Engineer

NVIDIA

full-time

Posted on:

Location Type: Remote

Location: Germany

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Salary

💰 PLN 292,500 - PLN 650,000 per year

Job Level

About the role

  • 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.

Requirements

  • 8+ 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
  • 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Deep LearningPythonPyTorchinference optimization techniquesquantizationTensorRTTensorRT-LLMvLLMSGLangCUDA programming
Certifications
MSc in Computer SciencePhD in Computer ScienceMSc in Electrical EngineeringPhD in Electrical EngineeringMSc in Computer Systems EngineeringPhD in Computer Systems Engineering