Research Scientist I/II, Multiscale & Multiphysics Simulations (AI)

TL;DR

Research Scientist I/II, Multiscale & Multiphysics Simulations (AI): Developing next-generation in silico multiphysics and multiscale simulation capabilities to power AI-driven scientific discovery with an accent on integrating FEM, CFD, and TCAD-style modeling into autonomous pipelines. Focus on building scalable GPU-accelerated simulation pipelines and creating closed-loop experiment–simulation feedback cycles.

Location: Cambridge, MA USA

Salary: $176,000 - $304,000 USD

Company

hirify.global is building Scientific Superintelligence to automate the entire scientific method autonomously across medicine, materials, and energy.

What you will do

• Develop and deploy robust multiphysics models across coupled domains (thermal, fluid, structural, electromagnetic, chemical) using FEM and CFD techniques.
• Build integrated multiscale frameworks that connect atomistic, mesoscale, and continuum representations.
• Design and implement programmatic, agent-driven simulation workflows for autonomous configuration and refinement within discovery cycles.
• Create scalable, GPU-accelerated simulation pipelines and interoperable APIs connecting commercial tools like COMSOL and ANSYS.
• Collaborate with AI, software, and automation teams to integrate computational predictions with robotic laboratory platforms.

Requirements

• PhD in Mechanical Engineering, Chemical Engineering, Aerospace Engineering, Materials Science, or a related field.
• Must be based in or able to work from Cambridge, MA USA.
• Extensive experience with multiphysics simulation methods and numerical algorithms (FEM, CFD, TCAD, or mesoscale modelling).
• Strong foundation in coupled physical phenomena, including heat transfer, fluid dynamics, and electromagnetism.
• Experience applying simulation to industrial settings such as semiconductors, chemical processing, or aerospace.
• Solid programming skills in Python for building automation pipelines or custom numerical models.

Nice to have

• Experience bridging atomistic simulations with continuum models.
• Familiarity with ML approaches applied to physical simulations (surrogate models, PINNs) and GPU acceleration.
• Experience integrating simulation frameworks into digital twin systems or closed-loop control workflows.
• Background in thin-film deposition, micro/nano-fabrication, or reactive transport.

Culture & Benefits

• Competitive base compensation with bonus potential and generous early-stage equity.
• Comprehensive U.S. and International benefit packages.
• High-velocity startup environment tackling problems of historic importance.
• Culture guided by values of truth, trust, curiosity, grit, and velocity.