Applied SciML Engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Nityo Infotech Corporation, is seeking the following. Apply via Dice today!

Santa Clara, CA (Onsite from day 1)

We're looking for an engineer with deep expertise in scientific machine learning and computational geometry to build production ML systems for physical simulation data.

Requirements

Core Deep Learning Experience (3 years)

• Hands-on deep learning training with scientific datasets: CAD geometries, CFD simulations, or similar physical data
• End-to-end model development: data preparation, training, hyperparameter tuning
• Multi-GPU training and GPU memory optimization
• PyTorch and PyTorch Lightning proficiency
  
  

Technical Depth Demonstrated experience (via publications in top venues OR 3 years industry experience) in one or both areas:

• Computational Geometry: PointNet, DGCNN, TripNet, MeshGPT, or similar geometric deep learning architectures
• Scientific ML: PINNs, DeepONet, FNO, Transformers for physics, SCoT, Poseidon, or related physics-informed models
  
  

Evidence of Impact Publications in leading ML/computational science conferences/journals OR proven track record building SciML systems in industry.