Senior Deep Learning Engineer
NVIDIA
full-time
Posted on:
Location Type: Hybrid
Location: Warsaw • 🇵🇱 Poland
Visit company websiteJob Level
Senior
Tech Stack
PythonPyTorch
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
- 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
Benefits
- Health insurance
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Deep LearningPythonPyTorchinference optimization techniquesquantizationTensorRTTensorRT-LLMvLLMSGLang
Certifications
MSc in Computer SciencePhD in Computer ScienceMSc in Electrical EngineeringPhD in Electrical EngineeringMSc in Computer Systems EngineeringPhD in Computer Systems Engineering