What are the responsibilities and job description for the Applied SciML Engineer position at Nityo Infotech Corporation?
Job Details
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.
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