Rarefied Flow Solver Developer

Posted Yesterday
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Watertown, MA, USA
In-Office
Junior
Information Technology
The Role
Develop and maintain high-performance rarefied gas simulation solvers and AI tools for CPUs and GPUs. Responsibilities include implementing, testing, documenting, profiling, and optimizing solver features; maintaining APIs and code; supporting releases; and collaborating with product, QA, documentation, visualization, and interface teams. The role focuses on robust, scalable numerical simulation software for industrial fluid-dynamics applications.
Summary Generated by Built In

Flexcompute is a cutting-edge technology startup that specializes in ultra-fast simulation technology. Our products are utilized by companies in designing and optimizing technology products, with applications ranging from designing airplanes and cars to wind turbines and quantum computing chips. Our customer base includes both household names and startups in emerging industries. Our company was founded by world-renowned leaders in simulation technology from Stanford University and MIT. Backed by top VC firms, we are poised to disrupt the billion-dollar engineering simulation industry with our fast-growing trajectory.

Flexcompute is seeking an experienced software developer to contribute to a rarefied gas simulation software and AI tool designed for GPUs. The successful candidate will have a critical role in designing and implementing cutting-edge algorithms with an emphasis on speed, robustness, accuracy, and scalability. This position offers a unique opportunity to explore state-of-the-art rarefied gas prediction and artificial intelligence algorithms in a production environment. The candidate will gain experience working with highly experienced professionals and be an integral part of the product development, release, maintenance, and support phases. Over time, the strong collaborative nature of this role offers exposure to Flexcompute’s sophisticated multi-physics simulation and design optimization technologies.

What You Will Do:
  • Independently implement, test, and document new solver features
  • Profile and optimize feature implementation to improve speed and scalability on CPUs/GPUs
  • Contribute to a clean and maintainable API for various functionalities
  • Contribute to general source code maintenance and other relevant software development activities (bug fixes, support, etc)
  • Collaborate with teams developing agentic user interface and scientific visualization tools/technologies
  • Collaborate with Product Management, QA, and Documentation teams to accomplish product milestones in a timely manner
  • Follow sound software engineering practices. The code we write today will underpin our platform simulation products for years to come – it needs to be maintainable, extensible and robust
  • Make user experience a priority. We strive to make the complexity inherent in fluid simulations manageable by way of intuitive controls and straightforward workflows
  • Deliver robust and high-performance simulations for industrial applications that involve management of large amounts of data

Requirements
  • Strong background in Rarefied Gas Dynamics, Fluid Mechanics, Structural Mechanics, Aeroacoustics, Conjugate Heat Transfer, or adjacent fields
  • Knowledge of numerical methods for solving rarefied flows such as Direct Simulation Monte Carlo (DSMC), Particle-in-Cell (PIC), or lower-fidelity engineering methods; knowledge of solving discretized Navier Stokes equations for compressible flows.
  • Basics of computational geometry and meshing requirements for CFD simulations
  • Proven experience in and contributions to complex rarefied gas or CFD solvers
  • C++ for scientific computing and Python (or similar) for scripting
  • Master degree or PhD in an applicable technical field with 0-3 years of industry experience
  • Familiar with version control systems such as git and the Linux command line
Preferred:
  • Industry experience with implementation and testing of new features in commercial gas dynamics or CFD solvers
  • Prior experience in working collaboratively in a medium sized distributed development team
  • PhD in Computational Science and Engineering, Mechanical Engineering or Aerospace Engineering
  • Expertise in one or more of the following topics:
    • Rarefied gas dynamics: kinetic theory and molecular gas dynamics, plume impingement (chemical and plasma plumes), plume-surface interactions, reacting plumes, lunar/Martian dust propagation, Hall effect thrusters, etc.
    • Direct Simulation Monte Carlo (DSMC), Particle-in-Cell (PIC) techniques for modeling rarefied gases or plasmas
    • AI surrogate models of fluid dynamics 
    • Surface and volumetric meshing for CFD
    • Development of scalable, parallel CFD solvers using CUDA, HIP, MPI, OpenMP.

Benefits
  • Competitive compensation with equity of a fast-growing startup.
  • Medical, dental, and vision health insurance.
  • 401(k) Contribution.
  • Gym allowance.
  • Friendly, thoughtful, and intelligent coworkers.
Join Us

As our market and products grow, we are rapidly expanding and searching for partners who are eager to grow in a dynamic environment, possess an entrepreneurial spirit, and can scale our team. Flexcompute is dedicated to providing equal employment opportunities. We firmly believe that talent from diverse backgrounds can bring our company a rich and varied perspective. We warmly welcome candidates from all backgrounds to join us on this passionate and challenging journey, together facing the most compelling challenges in engineering computation.

Join Flexcompute, where your expertise in advanced computing will contribute to accelerating innovation in various fields for the next industrial renaissance.

Flexcompute is dedicated to promoting diversity, equity, and inclusion in the workplace. We are an equal opportunity employer that recognizes the value of diverse perspectives in achieving our mission. We encourage candidates from all backgrounds to apply.

Skills Required

  • Strong background in rarefied gas dynamics, fluid mechanics, structural mechanics, aeroacoustics, conjugate heat transfer, or an adjacent field
  • Knowledge of numerical methods including Direct Simulation Monte Carlo, Particle-in-Cell, lower-fidelity engineering methods, or discretized compressible Navier-Stokes solvers
  • Basic knowledge of computational geometry and meshing requirements for CFD simulations
  • Proven experience contributing to complex rarefied gas or CFD solvers
  • Experience with C++ for scientific computing and Python or a similar scripting language
  • Master's degree or PhD in an applicable technical field
  • Familiarity with version control systems such as Git and the Linux command line
  • Industry experience implementing and testing features in commercial gas-dynamics or CFD solvers
  • Experience working collaboratively in a medium-sized distributed development team
  • PhD in Computational Science and Engineering, Mechanical Engineering, or Aerospace Engineering
  • Expertise in rarefied gas dynamics, kinetic theory, molecular gas dynamics, plume interactions, reacting plumes, planetary dust propagation, or Hall-effect thrusters
  • Experience with DSMC or PIC techniques for modeling rarefied gases or plasmas
  • Experience with AI surrogate models for fluid dynamics
  • Experience with surface and volumetric meshing for CFD
  • Experience developing scalable parallel CFD solvers using CUDA, HIP, MPI, or OpenMP
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The Company
HQ: Boston, MA
65 Employees
Year Founded: 2016

What We Do

Accelerate Innovation with Advanced Computing Flexcompute develops next-generation simulation tools to accelerate product designs in automotive, aerospace, consumer electronics, semiconductors, and renewable energy. Our technology is 50 to 500 times faster than traditional simulation software while achieving better accuracy and robustness. This leap is enabled by a new generation of computing chips, innovative algorithms for solving first-principle equations, and AI-assisted physics modeling. Our products simulate fluid, thermal, and electromagnetic physics. Flexcompute is based in Boston, with a founding team from MIT and Stanford

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