PhysicsX · 9 hours ago
Simulation Engineering Intern - Aeroacoustics CFD
New York, United States
Internship
Onsite
Intern
$45/hr - $55/hrPhysicsX is a deep-tech company focused on accelerating hardware innovation through AI-driven simulation software. As an Aeroacoustics Simulation Engineering Intern, you will develop advanced computational frameworks for aeroacoustics analysis and contribute to high-fidelity datasets, enhancing noise prediction and mitigation capabilities across various applications.
AI InfrastructureArtificial Intelligence (AI)Information TechnologyMachine LearningSemiconductorSimulationSoftware
Responsibilities
Set up and configure CFD software (e.g., StarCCM) and aeroacoustics solvers (e.g., MGLET) on company HPC systems for production-scale simulations
Benchmark and evaluate solver pipelines to establish optimal workflows for end-to-end aeroacoustics simulations across multiple application domains
Conduct comprehensive market value analysis of aeroacoustics expertise and identify target markets (e.g., automotive, eVTOL, data centers) to develop solutions for
Design and execute simulation campaigns across selected applications, generating high-quality datasets for analysis and modeling
Implement automated post-processing routines to extract key aeroacoustic metrics including sound pressure levels, frequency spectra, directivity patterns, and noise propagation characteristics
Assemble and curate simulation results into structured datasets ready for AI surrogate modeling applications
Collaborate with PhysicsX data scientists and machine learning engineers to structure simulation outputs for training datasets, understand data quality requirements, and participate in model validation workflows
Prepare detailed technical reports and presentations communicating findings, methodologies, and recommendations
Develop comprehensive technical documentation explaining workflows, aeroacoustics modeling approaches, underlying physics being simulated, and references to literature and industry standards
If scope permits, experiment with training AI-based surrogate models for rapid aeroacoustics noise prediction
Qualification
Required
Currently pursuing a PhD or Masters degree in Mechanical Engineering, Aerospace Engineering, Acoustics, or related engineering field
Demonstrated experience in computational aeroacoustics (CAA) methods and applications
Understanding of multi-physics simulation approaches and noise generation mechanisms
Proficiency in Python or another scripting language for automation, data processing, and workflow orchestration
Strong analytical skills with ability to evaluate complex simulation results
Excellent written and verbal communication skills
Ability to work independently and collaboratively in a fast-paced research environment
Preferred
Familiarity with CFD software and aeroacoustics solvers; experience with StarCCM, MGLET, or similar tools
Experience with High-Performance Computing (HPC) environments, job scheduling systems, and Unix/Linux operating systems
Experience with experimental design and testing of aeroacoustics
Experience with AI-driven modeling techniques or surrogate modeling
Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, PyTorch, MLFlow)
Background in parametric design automation or mesh generation
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