CFD Engineer at PhysicsX

New York, New York, United States

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

NoVisa

Aerospace, Automotive, Semiconductors, Energy, Advanced ManufacturingIndustries

Requirements

Enthusiasm and deep knowledge in computational fluid dynamics (CFD) and related physics (fluid mechanics, heat transfer, multiphase modelling), with ability to translate expertise into accurate real-world replication across industries
Ability to identify and define client needs, and effectively deliver projects to internal teams and customers
Strong problem-solving skills to analyse issues, identify causes, and recommend solutions quickly
Operation of leading CFD platforms, especially STAR-CCM+ and OpenFOAM, but also Fluent/CFX
Excellent collaboration and communication skills with teams and customers, including managing client expectations
Advanced skills in meshing, including mesh manipulation and adaptive/dynamic mesh techniques
Experience in workflow automation, parametric CAD, and coupling with other software/code for co-simulation and optimization
Additional experience in other numerical methods (e.g., Finite Element Analysis (FEA) or Electromagnetics), with interest in data science or machine learning
Expertise in model correlation and real-world validation
Ideally advanced Python and Java coding skills
Right to work in the US (no visa sponsorship)

Responsibilities

Set up and build complex multi-physics models to simulate and understand complex real-world phenomena
Automate simulation pipelines to enable fast optimization and parametric CAD coupling
Use on-premise HPC and cloud resources to accelerate high-fidelity models beyond smart model setup and meshing choices
Own the delivery of technical work streams, potentially mentoring more junior colleagues
Work at the intersection of CAE and data science, generating highly accurate results and predictions with advanced machine learning and deep learning models
Work closely with data scientists, machine learning engineers, and clients to develop understanding of physics and engineering challenges
Continuously apply and improve engineering best practices and standards, coaching colleagues in their adoption

Skills

Key technologies and capabilities for this role

CFDFluid MechanicsHeat TransferMultiphase ModellingMulti-Physics SimulationSimulation PipelinesHPCCloud ComputingCADMeshingOptimization

Questions & Answers

Common questions about this position

What is the salary for the CFD Engineer position?

This information is not specified in the job description.

Is this a remote position or is there a specific location requirement?

This information is not specified in the job description.

What skills are required for the CFD Engineer role?

Required skills include deep knowledge in computational fluid dynamics (CFD) and related physics, operation of leading CFD platforms especially STAR-CCM+ and OpenFOAM (also Fluent/CFX), strong problem-solving skills, and excellent collaboration.

What is the company culture like at PhysicsX?

PhysicsX is a deep-tech company of scientists and engineers focused on building next-generation machine learning tools for physics simulations, offering exposure to cutting-edge tools at the intersection of physics and machine learning, with opportunities to own technical work streams and mentor junior colleagues.

What makes a strong candidate for this CFD Engineer role?

A strong candidate has enthusiasm and deep CFD expertise to replicate real-world phenomena across industries, proficiency in STAR-CCM+ and OpenFOAM, strong problem-solving to deliver projects effectively, and excellent collaboration skills.

PhysicsX

AI-driven simulation for advanced industries

About PhysicsX

PhysicsX enhances the design and operation of machines in advanced industries using artificial intelligence and simulation technologies, focusing on sectors like renewable energy, healthcare, and transportation. Their AI-driven simulations help clients, including medical device manufacturers and aerospace companies, improve efficiency and reduce emissions. The company operates on a project-based and long-term contract model, providing specialized services that lead to significant performance improvements. With a leadership team experienced in machine learning and engineering, PhysicsX aims to achieve engineering breakthroughs that positively impact society.

London, United KingdomHeadquarters

N/AYear Founded

$31.1MTotal Funding

SERIES_ACompany Stage

Energy, AI & Machine Learning, Aerospace, HealthcareIndustries

11-50Employees

Benefits

Company Equity

Paid Vacation

Parental Leave

Flexible Work Hours

Remote Work Options

Risks

UK's AI startup surge may dilute PhysicsX's market share.

Dependence on AWS poses data security and service reliability risks.

Rapid AI advancements require continuous innovation to avoid obsolescence.

Differentiation

PhysicsX uses AI to revolutionize machine design in climate and health sectors.

Their LGM-Aero model reduces aerospace concept development time from months to hours.

PhysicsX's Ai.rplane app offers public access to advanced aerodynamics tools.

Upsides

Collaboration with Siemens enhances PhysicsX's capabilities in AI-based aerodynamics simulations.

$32 million Series A funding boosts growth and research expansion for PhysicsX.

UK's AI market growth offers expansion opportunities for PhysicsX.

Land your dream remote job 3x faster with AI

Try Jobo Free