Full-Time

Simulation Engineer

Electromagnetic Specialist

Confirmed live in the last 24 hours

PhysicsX

PhysicsX

11-50 employees

AI-driven simulation for advanced industries

No salary listed

Mid, Senior

London, UK

Hybrid position with a good proportion of time working from home.

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
CAD
Data Science
Machine Learning
Requirements
  • Deep understanding of electromagnetics, particularly Maxwell's equations
  • Advanced knowledge in high-frequency and low-frequency electromagnetic simulation software (3-6 years), such as Ansys HFSS, Ansys Maxwell, COMSOL, Altair’s FEKO, Dassault CST, or other EM Simulation Tools
  • Strong problem-solving abilities to analyse issues, identify causes, and recommend solutions quickly
  • Excellent collaboration and communication skills to work effectively with teams and customers
  • Ability to scope and effectively deliver projects
Responsibilities
  • Work closely with data scientists, machine learning engineers, and clients to develop an understanding of the physics and engineering challenges being solved
  • Set up and build multi-physics models to simulate and understand complex real-world phenomena
  • Automate simulation pipelines to enable fast optimisation 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 in conjunction with advanced machine learning and deep learning models
  • Continuously apply and improve engineering best practices and standards, coaching colleagues in their adoption
Desired Qualifications
  • Passion for and a track record of managing, mentoring, and coaching junior colleagues
  • Ideally, possess advanced Python and Java coding skills

PhysicsX enhances the design and operation of machines in advanced industries using artificial intelligence (AI) 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, create more efficient designs and processes, such as improving artificial hearts and reducing vehicle emissions. Unlike competitors, PhysicsX offers specialized services tailored to specific industry needs, generating revenue through project-based work and long-term contracts. The company's goal is to achieve engineering breakthroughs that positively impact society and the environment.

Company Size

11-50

Company Stage

Series A

Total Funding

$32M

Headquarters

London, United Kingdom

Founded

N/A

Simplify Jobs

Simplify's Take

What believers are saying

  • 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.

What critics are saying

  • 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.

What makes PhysicsX unique

  • 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.

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Benefits

Company Equity

Paid Vacation

Parental Leave

Flexible Work Hours

Remote Work Options

Company News

Defense Here
Dec 6th, 2024
Siemens and PhysicsX unveil AI-powered deep physics model for aerodynamics

PhysicsX has also launched Ai.rplane, a public-access technology demonstrator designed to provide a set of exploratory tools for aerodynamics and aircraft structures.

Daily CAD CAM
Dec 5th, 2024
Siemens, PhysicsX Collaborate to Build AI-based Deep Physics Simulation

PLANO, TX, USA, Dec 5, 2024 - Siemens Digital Industries Software announced today its ongoing collaboration with PhysicsX, a startup leveraging generative AI to enable breakthrough engineering in advanced industries.

Design Engineering
Dec 4th, 2024
PhysicsX launches GenAI for aero engineering, Ai.rplane app for aerostructures

PhysicsX launches genai for aero engineering, Ai.rplane app for aerostructures.

PR Newswire
Dec 4th, 2024
Physicsx Introduces Free-To-Use 'Ai For Advanced Engineering' To Transform Aerospace Development

PhysicsX releases the first Large Geometry Model, LGM-Aero, for aerospace engineering, trained and provisioned on Amazon Web Services (AWS) cloud compute using more than 25 million different shapes. It reduces the time to investigate aerospace concepts from months to hours. Trained and provisioned on AWS, LGM-Aero is a geometry and physics model pre-trained on a corpus of 25+ million meshes representing over 10 billion vertices, enabling dramatic reductions in aircraft concept development time. 'Ai.rplane' is a publicly accessible reference application built on LGM-Aero meant to showcase the power of the model for generating novel aircraft designs and predicting physics associated with aircraft performance, unveiled today at AWS re:Invent 2024 (2-6 Dec, Las Vegas)

Silicon Canals
Jun 17th, 2024
The Hottest Genai Startups From London You Need To Watch In 2024

Globally, the UK ranks third in terms of the number of AI companies and private capital investment in AI. It accounts for around half of all AI private capital investment in Europe. Every year, hundreds of new AI companies are established in the kingdom, which further contributes to the growth of the industry.The AI sector employs over 50,000 people and contributes more than £3.7B to the UK economy annually. Projections suggest that by 2035, the UK’s AI market’s contribution could rise to over £550B.The UK also hosted the world’s first AI Safety Summit last year. It brought together industry experts, academia, and civil society from the EU and 28 leading AI nations to agree on the Bletchley Declaration–a commitment to mitigate the risks associated with advanced AI.One subset of AI currently making waves is the generative AI. Using machine-learning algorithms to create new content, it does tasks such as content creation, artwork production, code debugging, and many more