Role & responsibilities
Design multi-step terminal-based tasks based on realistic physical-science workflows.
Develop self-contained computational environments with pinned dependencies and scientific software.
Create input datasets, molecular structures, simulation parameters, experimental data, and model configurations.
Implement expert solutions using Python, Bash, C/C++, Julia, or domain-specific scientific tools.
Develop automated tests for numerical accuracy, physical consistency, convergence, and output structure.
Create tasks involving simulations, numerical modeling, data fitting, optimization, spectroscopy, molecular analysis, and scientific visualization.
Define numerical tolerances, units, boundary conditions, and expected scientific behavior.
Validate that tasks are reproducible and execute successfully without runtime downloads.
Debug dependencies, precision, solver stability, performance, and file-format issues.

Preferred candidate profile
Ph.D., postdoctoral experience,



or equivalent advanced technical experience in a relevant physical-science discipline.
Strong expertise in Physics, Chemistry, Materials Science, Computational Physics, Computational Chemistry, Astronomy and Cosmology, Thermodynamics, Quantum Mechanics, Statistical Mechanics, or Materials Modeling.
Solid programming skills in Python, C/C++, Julia, Bash, or another scientific programming language.
Experience working in Linux or terminal-based settings.
Experience with numerical methods, scientific modeling, simulations, or quantitative scientific data analysis.
Ability to independently create and validate computational scientific workflows.
Robust understanding of units, numerical precision, physical constraints, and scientific reproducibility.
Familiarity with scientific libraries such as NumPy, SciPy, pandas, matplotlib, SymPy, or JAX is preferred.

📌 Physical Sciences Expert Terminal Bench Gurugram
🏢 Crossing Hurdles
📍 Gurugram