Computational Physics Specialist - India
[$10.5 / hr]
Our client is hiring 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 quantitiesRun simple code-based simulationsSolve real-world physics problems using appropriate equations and reasoningCollaborate 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 reasoningApply physics knowledge in a creative and technically deep setting involving simulation, automation, and AIContribute to a high-autonomy team pushing the boundaries of agent performance in complex domains