PhysicsX · 1 hour ago
Simulation Engineering Intern - Aircraft Icing CFD
Manhattan, NY
Internship
Hybrid
Intern
$45/hr - $55/hrPhysicsX is a deep-tech company focused on accelerating hardware innovation through AI-driven simulation software. As a CFD Simulation Engineering Intern, you will work on creating a comprehensive open-source 3D lifting surface aerodynamic ML benchmark dataset for aircraft icing analysis, gaining hands-on experience in computational aerodynamics and machine learning.
AI InfrastructureArtificial Intelligence (AI)Information TechnologyMachine LearningSemiconductorSimulationSoftware
Responsibilities
Research and evaluate state-of-the-art icing simulation software packages to determine optimal tools for dataset generation and establish simulation best practices
Design and implement a parametric lifting surface geometry generator using CAD tools to enable systematic exploration of diverse aerodynamic configurations
Develop a comprehensive Design of Experiments (DoE) framework covering relevant icing conditions, flight conditions, atmospheric parameters, and geometric variations to ensure dataset completeness
Configure and execute CFD simulation campaigns combining ice accretion modeling with aerodynamic performance calculations on HPC infrastructure
Create standardized automated data processing pipelines to extract aerodynamic coefficients, pressure distributions, ice shape characteristics, and performance metrics from simulation results
Research and implement best practices for publishing open-source ML benchmark datasets, ensuring proper formatting, documentation, accessibility, and compliance with community standards
Collaborate with PhysicsX data scientists and machine learning engineers to structure simulation outputs for training datasets and understand data quality requirements for ML applications
Prepare comprehensive dataset documentation including methodology, validation cases, usage guidelines, data format specifications, and references to icing physics literature
Present findings to the team and contribute to potential technical publications and conference presentations
Develop technical documentation explaining simulation workflows, automation procedures, underlying physics, and optimization strategies
Qualification
Required
Currently pursuing PhD or Masters degree in Aerospace Engineering, Mechanical Engineering, or related engineering field
Strong foundation in computational fluid dynamics (CFD) concepts, methodologies, and simulation workflows
Proficiency in programming and scripting languages (Python, Bash, Java) for automation and data processing
Coursework or demonstrated knowledge in aerodynamics, fluid mechanics, and heat transfer
Experience with Linux/Unix operating systems and command-line scripting
Experience in CAD design
Strong analytical skills with meticulous attention to detail
Excellent written and verbal communication skills
Ability to work independently and as part of a collaborative team
Preferred
Experience building automation pipelines, working with macros, or scripting with CFD simulation software
Familiarity with ice accretion physics, multi-physics simulations, or aerodynamic performance analysis
Prior experience with commercial or open-source CFD software packages and visualization tools
Experience using High-Performance Computing (HPC) environments and job scheduling systems
Background in parametric design automation, CAD scripting, or mesh generation
Knowledge of aircraft icing certification standards and aerospace safety regulations
Experience with cloud computing platforms and parallel computing workflows
Version control experience and collaborative software development practices
Interest in machine learning applications for engineering (no prior ML experience required)
Company
PhysicsX
PhysicsX offers an AI-native simulation software stack for engineering and manufacturing across advanced industries.
Founded in 2019
51-200 employees
H1B Sponsorship
PhysicsX has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Growth StageTotal Funding
$187MKey Investors
NVenturesAtomicoGeneral Catalyst
2025-11-19Series B· $20M
2025-06-22Series B· $135M
2023-11-27Series A· $32M
Leadership Team
Jacomo Corbo
CEO & Co-Founder
Recent News
Tech Funding News
2025-11-08
Company data provided by crunchbase