Software Engineer, Machine Learning in Applied Physics

nTop is seeking a Senior Software Engineer, Machine Learning in Applied Physics to build cutting-edge surrogate models that accelerate complex physics simulations by 100-1000x, enabling real-time engineering design and optimization.

Requirements

• Build and deploy surrogate models to replace expensive physics simulations with 100-1000x speedups
• Integrate existing ML solutions into the nTop ecosystem
• Prepare and curate training data by labeling simulation outputs, annotating physics features, and building high-quality datasets from multi-fidelity sources
• Validate models rigorously against high-fidelity simulations and experimental data with uncertainty quantification
• Document model architectures, assumptions, and limitations for technical and non-technical stakeholders

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Four Day Work Week
• Tuition Reimbursement
• Relocation Assistance