Computational Fluid Dynamics (CFD) Engineer

Endiatx, Inc.
Hayward, CA, United States
18 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$72,800.0 - $93,600.0
Working hours
Regular working hours
Job source

Tech stack

C Sharp (Programming Language) Computational Fluid Dynamics Nvidia CUDA Game Engine Python (Programming Language) Machine Learning Test Data Data Processing HLSL Ansys Meditech

Job description

Endiatx, Inc. · Hayward, California · Full-time, limited duration employment (3-6 months), with potential conversion to a long-term position · Recent master’s or PhD graduates · Immediate start, We are seeking a Computational Fluid Dynamics Engineer to lead flow modeling and validation for one of our development programs. You will own high-fidelity simulations from setup through validation and work cross-functionally to turn results into practical engineering models.

This is a CFD-first role. You are the person who makes sure our simulation of the capsule is physically correct. You will work alongside our Unity/MuJoCo software engineers and produce validated physics and simplified models/parameters. Interest in that real-time and machine-learning layer is welcome and will shape how the role grows, but it is not required on day one.

Requirements

  • MS or PhD in Mechanical Engineering, Aerospace Engineering, Physics, or related field with a focus on Computational Fluid Dynamics
  • 3+ years of hands-on CFD experience, or equivalent graduate research experience
  • Strong proficiency with a high-fidelity CFD toolchain (OpenFOAM, Ansys Fluent, or equivalent)
  • Experience owning simulations end-to-end: meshing, solver setup, and post-processing
  • Strong understanding of low-Reynolds-number hydrodynamics, boundary-layer behavior, and viscous drag
  • Experience modeling non-Newtonian (shear-thinning) fluid behavior
  • Experience validating simulation results against physical or experimental test data
  • Proficiency in Python (or equivalent) for setup automation, data processing, and analysis
  • Strong fundamentals in fluid mechanics and numerical methods, with sharp problem-solving skills

Nice to Have

  • Experience building reduced-order or surrogate models from CFD data, including machine-learning surrogates
  • Familiarity with real-time physics frameworks such as MuJoCo, PhysX, or SOFA
  • Familiarity with game engines such as Unity
  • Knowledge of physics approximations such as SPH or flow fields
  • Experience with GPU / compute-shader development (HLSL/CUDA) for accelerated math
  • Experience using C# for collaborating with simulator codebase
  • Prior work in medical devices, Must be authorized to work in the United States., * Master’s (Required), * CFD or equivalent graduate research: 3 years (Required)
  • high-fidelity CFD toolchain: 1 year (Required)
  • owning simulations end-to-end: 1 year (Required)
  • modeling non-Newtonian (shear-thinning) fluid behavior: 1 year (Required)
  • validating simulation results against test data: 1 year (Required)
  • fluid mechanics and numerical methods: 2 years (Required)
  • Medical Device or MedTech: 1 year (Required)

Benefits & conditions

$35 - $45 / hr base salary, plus equity and benefits., Endiatx is an equal opportunity employer and values diversity across all backgrounds and experiences.

Accommodations

Reasonable accommodations will be provided throughout the hiring process and employment.

Employment Status

This position is at-will employment.

Pay: $35.00 - $45.00 per hour

Expected hours: 40.0 per week

Application Question(s):

  • Do you have a strong understanding of low-Reynolds-number hydrodynamics, boundary-layer behavior, and viscous drag?

About the company

Endiatx is a medical device company developing microrobotic systems for diagnostic use inside the human body. Our flagship platforms include PillBot , a propeller-driven endoscopic capsule designed to enable real-time visualization of the stomach, and PillVue , a passive capsule endoscopy system designed to improve access to gastrointestinal diagnostics.

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