Senior Scientific Machine Learning Engineer – Earth-2

Nvidia Corporation

Base: $152,000 - $241,500 usd (level 3); base: $18...
Strong python programming skills
Deep knowledge of dnn architectures
Experience with pytorch or tensorflow
The role involves developing leading machine learning frameworks like NVIDIA PhysicsNeMo and Earth2Studio for academic and industrial partners

Job Summary

  • The role involves developing leading machine learning frameworks like NVIDIA PhysicsNeMo and Earth2Studio for academic and industrial partners.
  • Candidates must possess strong analytical skills and the ability to thrive in a fast-paced, dynamic environment.
  • The position offers a competitive base salary ranging from $152,000 to $287,500 depending on level, along with equity and benefits.

Matching Summary

The role involves developing leading machine learning frameworks like NVIDIA PhysicsNeMo and Earth2Studio for academic and industrial partners.

Salary

Base: $152,000 - $241,500 USD (Level 3); Base: $184,000 - $287,500 USD (Level 4); Bonus/Equity: Eligible for equity; Benefits: Comprehensive benefits included

Skills & Requirements

Must-have

  • Strong Python programming skills
  • Deep knowledge of DNN architectures
  • Experience with PyTorch or TensorFlow
  • Weather and climate AI experience
  • Scientific visualization expertise

Nice-to-have

  • Multi-node system optimization
  • CUDA or GPU kernel programming
  • Published papers in scientific computing
  • Familiarity with Earth-2 ecosystem tools
  • Nonlinear simulation tool usage

Key Requirements

  • BS or MS degree (PhD preferred) in CS or related field
  • 5+ years of relevant experience
  • Experience with HPC programming models

Work Rights

Not specified

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