Dl Algorithms Engineer - Cosmos - New College Graduate 2026

Sheto

Base: 124,000 usd - 241,500 usd depending on level...
Deep learning model optimization
Large language models (llms)
Vision-language models (vlms)
You will collaborate with research scientists, software engineers, and hardware specialists to bring cutting-edge AI models from prototype to production

Job Summary

  • You will collaborate with research scientists, software engineers, and hardware specialists to bring cutting-edge AI models from prototype to production.
  • The role involves optimizing deep learning models for low-latency, high-throughput inference on state-of-the-art NVIDIA GPU hardware and software platforms.
  • You will be eligible for equity and benefits with a base salary range depending on level and experience.

Matching Summary

You will collaborate with research scientists, software engineers, and hardware specialists to bring cutting-edge AI models from prototype to production.

Salary

Base: 124,000 USD - 241,500 USD depending on level; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • Deep learning model optimization
  • Large Language Models (LLMs)
  • Vision-Language Models (VLMs)
  • World Foundation Models (WFMs)
  • GPU performance profiling
  • TensorRT and inference frameworks
  • Python and C++ programming

Nice-to-have

  • Robotics and autonomous vehicles experience
  • NVIDIA Cosmos and Omniverse platforms
  • Data curation pipelines
  • Distributed systems for model serving
  • Automation and benchmarking tools

Key Requirements

  • Master’s or PhD in Computer Science or related field
  • Experience in deep learning and physical AI development
  • Strong foundation in transformer architectures and attention mechanisms
  • Proficiency with PyTorch or TensorFlow in production
  • Experience with model quantization and inference optimization
  • Familiarity with Triton Inference Server and Docker
  • Experience deploying models at scale

Work Rights

Not specified

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