Computational Physics Specialist - India

Computational Physics Specialist - India

As referral partner we are posting for a Computational Physics Specialist to create terminal bench–style problems and tasks involving agents within the physics domain, as part of a hiring effort for its AI lab partner building advanced agent-based infrastructure. This role is ideal for individuals with a strong foundation in physics and a working knowledge of programming who are excited to design real-world simulations and problem-solving environments. You will be building terminal-based benchmarks where agents are tested on their ability to reason through and solve physics-based challenges using code, commands, and logic — all within a realistic terminal interface.

You’re a great fit if you:

• Have a background in Physics, Applied Physics, or Engineering Physics
• Are familiar with computational methods such as numerical integration, differential equations, Monte Carlo simulations, or physical modeling
• Have coding experience in Python, MATLAB, C++, or similar languages, and are comfortable in a Linux terminal environment
• Understand core physics concepts (mechanics, electromagnetism, thermodynamics, wave dynamics, etc.) and can translate them into structured problem-solving tasks
• Are interested in AI agents and want to explore how they can interact with simulations, models, and physics solvers in terminal-based systems
• Can design step-by-step challenges where quantitative reasoning, code-based exploration, and scientific accuracy are required

Primary Goal of This Role

To design terminal bench–style tasks where autonomous agents are challenged to solve physics-based problems through code, simulations, and reasoning. These environments will test agent performance in areas like equation solving, unit conversion, modeling physical systems, and interpreting simulation outputs in a terminal context.

What You’ll Do

• Build secure, sandboxed environments where agents interact with physics simulations or problem-solving tasks via the terminal.
• Design benchmarks that require agents to:
• Calculate physical quantities
• Run simple code-based simulations
• Solve real-world physics problems using appropriate equations and reasoning
• Collaborate with AI engineers to define task specifications, rewards, and difficulty levels.
• Create tasks that mimic real scientific computing workflows — e.g., modifying parameters, parsing output data, or debugging physical models.
• Develop tools for benchmark reproducibility, task evaluation, and automated resets.
• Scale challenges from basic mechanics problems to multi-step, interdisciplinary simulations.

Why This Role Is Exciting

• Help shape a new class of agent benchmarks grounded in scientific reasoning
• Apply physics knowledge in a creative and technically deep setting involving simulation, automation, and AI
• Contribute to a high-autonomy team pushing the boundaries of agent performance in complex domains