Applied SciML Engineer: Physics-Aware ML for Simulations

Govserviceshub; Santa Clara (CA); On-site; USD 100,000 - 140,000; Full time

Job summary

A leading technology firm in Santa Clara is seeking an Applied SciML Engineer with expertise in scientific machine learning and computational geometry. The ideal candidate will have a minimum of 3 years of deep learning experience and proficiency in PyTorch. This role focuses on building production ML systems for physical simulation data. Candidates should have a strong background in model development, optimization, and application to scientific datasets.

Qualifications

• Minimum 3 years of experience in deep learning.
• Experience with CAD geometries or CFD simulations.
• Proficiency in PyTorch and related frameworks.

Responsibilities

• Build production ML systems for physical simulation data.
• Optimize multi-GPU training for efficiency.

Skills

Core Deep Learning Experience

Hands-on deep learning training with scientific datasets

End-to-end model development

Multi-GPU training and GPU memory optimization

PyTorch proficiency

Computational Geometry knowledge

Job description

A leading technology firm in Santa Clara is seeking an Applied SciML Engineer with expertise in scientific machine learning and computational geometry. The ideal candidate will have a minimum of 3 years of deep learning experience and proficiency in PyTorch. This role focuses on building production ML systems for physical simulation data. Candidates should have a strong background in model development, optimization, and application to scientific datasets.