Senior Deep Learning Engineer: GPU Inference at Scale

NVIDIA; Indiana (PA); On-site; USD 100,000 - 150,000; Full time

Job summary

NVIDIA is looking for a Senior Deep Learning Engineer in Indiana, Pennsylvania. The selected candidate will optimize and deploy models for high-performance inference on GPU platforms, working closely with research scientists and hardware experts. Key responsibilities include improving inference speeds and profiling deep learning workloads. Candidates should have a strong background in deep learning, proficient programming in Python and PyTorch, as well as experience with inference optimization techniques. This position offers a competitive salary based on experience and location.

Qualifications

• 5+ years of experience.
• Strong background in Deep Learning.
• Experience with inference optimization frameworks.

Responsibilities

• Improve inference speed for Cosmos WFMs on GPU platforms.
• Carry out the production deployment of Cosmos WFMs.
• Profile and analyze deep learning workloads.

Skills

Deep Learning

Python

PyTorch

Inference optimization techniques

Education

MSc or PhD in Computer Science, Electrical Engineering, or equivalent

Tools

TensorRT

TensorRT-LLM

vLLM

SGLang

Job description

NVIDIA is looking for a Senior Deep Learning Engineer in Indiana, Pennsylvania. The selected candidate will optimize and deploy models for high-performance inference on GPU platforms, working closely with research scientists and hardware experts. Key responsibilities include improving inference speeds and profiling deep learning workloads. Candidates should have a strong background in deep learning, proficient programming in Python and PyTorch, as well as experience with inference optimization techniques. This position offers a competitive salary based on experience and location.