Senior Scientific Machine Learning Engineer – Earth-2
NVIDIA Santa Clara, CA Full-time 3/31/2026
Undergraduate with 5+ Years of Experience
Approval 99.2%•Total filings 1,781•New hires 873•
👑 Elite Sponsor
•FY 2025Job Description
NVIDIA is seeking passionate individuals to develop machine learning frameworks for weather, climate, and earth system modeling. The role involves collaborating with internal teams to validate applications and enhance NVIDIA's Earth-2 technologies through innovative deep learning techniques.
Requirements
- BS or MS degree (PhD preferred) in computer science, mathematics, computational science/engineering, or related technical field or equivalent experience
- 5+ yrs of relevant experience
- Strong Python programming skills
- Familiarity with containers, numeric libraries, modular software design
- Deep knowledge of state-of-the-art DNN architectures and machine learning techniques and algorithms
- Experience in developing or using major deep learning frameworks (PyTorch, Tensorflow, JAX etc.)
- Experience with development and application of machine learning techniques to solve real world scenarios in weather/climate
- Experience with scientific visualization
- Strong analytical skills with bias for action
- Good time-management and organization skills
- Solid written and oral communications skills
- Good teamwork and interpersonal skills
Responsibilities
- Develop leading machine learning frameworks, NVIDIA PhysicsNeMo and NVIDIA Earth2Studio
- Work with internal project teams to validate applications built using the framework on NVIDIA’s products
- Integrate new functionalities from internal or external projects into the platform
- Stay up to date with the latest research and innovations in deep learning techniques
- Implement and experiment with new ideas to develop and enhance NVIDIA's Earth-2 technologies
Benefits
- Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.
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