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Flexcompute

Cloud CAE for fluid, thermal, EM

Computational Mechanics Scientist - Structural Solver

Mechanical EngineeringConfirmed live in the last 24 hours
Full-timeWatertown, NY, USA

About the Job

Requirements

  • A Ph.D. in Applied Mechanics, Physics, Applied Mathematics, or a related field is required.
  • A strong intuitive grasp of continuum mechanics, including elasticity, plasticity, contact mechanics, and wave propagation, is required.
  • Theoretical mastery of numerical partial differential equations is required, including the ability to prove a scheme's consistency, stability, and convergence and understand trade-offs between implicit and explicit integration and spatial discretizations.
  • Proficiency in at least one high-level programming language—C++, Python, Julia, Rust, or Fortran—with a focus on algorithmic efficiency is required.
  • Understanding of data structures, computational complexity (Big O), and maintainable research code is required.
  • Demonstrated ability to solve novel problems without textbook solutions is required.

Responsibilities

  • Derive and implement governing equations for structural mechanics, ensuring thermodynamic consistency and physical accuracy across linear and nonlinear regimes.
  • Design the core numerical framework and determine discretization strategies, such as finite element methods, discontinuous Galerkin, and isogeometric analysis, to balance stability, accuracy, and computational cost.
  • Write clean, modular, and efficient algorithms to solve large-scale systems of equations.
  • Diagnose solver behavior through physical modeling and distinguish numerical instability from physical phenomena.

Desired Qualifications

  • Interest in learning high-performance computing and GPU architecture.
  • Experience with C++ for scientific computing.
  • Exposure to multiphysics coupling, including fluid-structure interaction and thermal stress.

About the Company

Flexcompute

Cloud CAE for fluid, thermal, EM

Flexcompute offers cloud-based CAE (computer-aided engineering) software that provides proprietary tools for simulating fluid dynamics, thermal analysis, and electromagnetic physics. The platform is delivered as a service, letting engineers run complex simulations in the cloud without needing powerful local hardware, thereby speeding up product design and reducing development costs and risks. Its software-hardware co-design approach enhances the speed and accuracy of simulations, helping manufacturers, semiconductors, and other industries optimize designs efficiently. The company differentiates itself by combining multi-physics simulation capabilities with scalable cloud resources and a focus on making advanced computational analysis accessible to engineers and designers. The goal is to accelerate R&D cycles and enable more reliable, cost-effective hardware development.

Company size
51-200
Company stage
Late Stage VC
Total funding
$82M
Headquarters
Watertown, MA
Founded
2016

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