Remote Senior Physics Simulation Engineer — Thermodynamics & AI

Phaidra

United States

Remote

USD 120,000 - 180,000

Full time

12 days ago

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Benefits offered by this job

100% remote
Equity
Competitive salary
Flexible stipends
MacBook

Job summary

Phaidra is seeking a Research Engineer to develop physics-based simulators for industrial AI-driven control systems. You will translate complex thermo-fluid systems into computational models and build robust tools used by our research and product teams.

Based remotely with teams across regions, you will collaborate with researchers to define specs, validate models, and contribute to ML-integrated simulation pipelines to optimize industrial performance.

Qualifications

  • 3-4 years of research or applied engineering experience.
  • Bachelor’s or Master’s in Mechanical, Chemical Engineering, Applied Physics, or related field.
  • Strong understanding of thermodynamics and fluid mechanics with HVAC knowledge.
  • Experience building simulation tools using numerical methods.
  • Proficiency in Python and scientific computing libraries.
  • Familiarity with modeling frameworks such as Modelica, OpenFOAM, COMSOL, EnergyPlus, or similar.

Responsibilities

  • Develop physics-based simulators for industrial control systems.
  • Translate complex physical systems into computational models and tools.
  • Collaborate with researchers to define specs and performance metrics.
  • Contribute to integrating simulation tools with ML workflows.

Skills

Thermodynamics
Fluid mechanics
Python programming
Academic reading
Research mindset

Education

Bachelor's or Master's in Mechanical/Chemical Engineering or Applied Physics

Tools

Modelica
OpenFOAM
COMSOL
EnergyPlus
NumPy
SciPy
Pandas
Docker
Git

Job description

Phaidra is seeking a Research Engineer to develop physics-based simulators for industrial AI-driven control systems. You will translate complex thermo-fluid systems into computational models and build robust tools used by our research and product teams.

Based remotely with teams across regions, you will collaborate with researchers to define specs, validate models, and contribute to ML-integrated simulation pipelines to optimize industrial performance.

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