Senior Scientific Machine Learning Engineer – Earth-2

Invidia

Multiple Locations
Base: 152,000 usd - 241,500 usd for level 3; 184,0...
Not specified (assumed hybrid based on industry standards).
Strong python programming skills
Deep knowledge of state-of-the-art dnn architectures
Experience with pytorch, tensorflow, jax
NVIDIA is seeking a Senior Scientific Machine Learning Engineer for their Earth-2 platform, focusing on developing AI frameworks for weather and climate modeling. The ideal candidate should have extensive experience in machine learning, strong programming skills, and familiarity with scientific visualization and HPC programming

Job Summary

  • Work with some of the brightest minds in a premier AI company to develop leading machine learning frameworks for weather, climate, and earth system modeling.
  • Stay up to date with the latest research and implement new ideas to enhance NVIDIA's Earth-2 technologies focused on weather and climate AI.
  • NVIDIA is widely considered one of the technology world’s most desirable employers with a forward-thinking and hardworking team.

Matching Summary

Match Score: 87

NVIDIA is seeking a Senior Scientific Machine Learning Engineer for their Earth-2 platform, focusing on developing AI frameworks for weather and climate modeling. The ideal candidate should have extensive experience in machine learning, strong programming skills, and familiarity with scientific visualization and HPC programming.

Salary

Base: 152,000 USD - 241,500 USD for Level 3; 184,000 USD - 287,500 USD for Level 4; Bonus/Equity: Eligible; Benefits: Eligible

Skills & Requirements

Must-have

  • Strong Python programming skills
  • Deep knowledge of state-of-the-art DNN architectures
  • Experience with PyTorch, Tensorflow, JAX
  • Experience applying ML to weather and climate
  • Familiarity with containers and numeric libraries
  • Scientific visualization experience

Nice-to-have

  • Experience with multi-node data-parallel programming
  • HPC programming models knowledge
  • CUDA or GPU kernel programming
  • Nonlinear simulation tools experience
  • Published papers in AI for scientific computing
  • Familiarity with Earth-2 ecosystem tooling
  • Strong analytical and communication skills
  • Good teamwork and interpersonal skills

Key Requirements

  • BS or MS degree in computer science or related field
  • PhD preferred
  • 5+ years of relevant experience
  • Solid written and oral communication skills
  • Good time-management and organization skills

Work Rights

Not specified

Tailored Resume

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