Dl Algorithms Engineer - Cosmos - New College Graduate 2026

Nvidia Corporation

United States
Base: 124,000 usd - 241,500 usd; bonus/equity: not...
On-site
Optimize llms, vlms, wfms for inference
Deploy models using tensorrt, vllm
Analyze gpu performance on nvidia hardware
Nvidia is seeking a New College Graduate for the role of Deep Learning Algorithms Engineer, focusing on optimizing and deploying advanced deep learning models in production environments. The position emphasizes collaboration with engineers and scientists to facilitate efficient AI applications, particularly in generative AI

Job Summary

  • Optimize deep learning models for low-latency, high-throughput inference, with a focus on LLMs, VLMs, diffusion models, and World Foundation Models (WFMs) designed for physical AI applications.
  • Understand, analyze, profile, and optimize performance of deep learning and physical AI workloads on state-of-the-art NVIDIA GPU hardware and software platforms.
  • Collaborate with research scientists, software engineers, and hardware specialists to ensure seamless integration of cutting-edge AI models from training to deployment.

Matching Summary

Match Score: 85

Nvidia is seeking a New College Graduate for the role of Deep Learning Algorithms Engineer, focusing on optimizing and deploying advanced deep learning models in production environments. The position emphasizes collaboration with engineers and scientists to facilitate efficient AI applications, particularly in generative AI.

Salary

Base: 124,000 USD - 241,500 USD; Bonus/Equity: Not specified; Benefits: Eligible for equity and benefits

Skills & Requirements

Must-have

  • Optimize LLMs, VLMs, WFMs for inference
  • Deploy models using TensorRT, vLLM
  • Analyze GPU performance on NVIDIA hardware
  • Implement efficient LLM serving components
  • Develop automation for inference optimization
  • Proficient in Python and C++
  • Experience with model quantization

Nice-to-have

  • Deploy models at scale in real-world applications
  • Experience with NVIDIA Cosmos, Isaac Sim
  • Experience with data curation pipelines
  • Understanding of distributed systems for inference

Key Requirements

  • Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or related field
  • Experience in deep learning, applied machine learning, or physical AI development
  • Hands-on experience with LLMs, VLMs, and multimodal generative models
  • Deep understanding of transformer architectures
  • Proficient in PyTorch or TensorFlow
  • Experience with modern inference optimization techniques
  • Familiarity with Triton Inference Server

Work Rights

Not specified

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