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.

- Strong programming skills in Python, C/C++, Julia, Bash, or another scientific programming language.

- Experience working in Linux or terminal-based environments.

- 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