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PhysicsX

Physics AI platform for industrial engineering

Forward Deployed Software Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • A track record of solving complex problems.
  • A background in Mechanical Engineering or a similar discipline is a plus.
  • A solid foundation in software engineering, API design, and deploying applications to production is desired.
  • Ability to quickly acquire skills and experience to solve novel problems.
  • Ability to work alongside customers to understand their problems and build applications that address them.

Responsibilities

  • Build and deploy applications that use physics AI models to help customers improve engineering outcomes.
  • Work directly with customers, data scientists, and machine learning engineers to develop applications for advanced engineering.
  • Travel to customer sites in North America, Europe, Asia, and Oceania for an average of 3–4 weeks per quarter and collaborate with customers on-site.
  • Collaborate with data scientists and machine learning engineers to ship physics models to customers.
  • Work with designers and front-end engineers to shape user experience around customer needs.
  • Work with customers to design impactful tools, build low-lift prototypes, deliver them to customers, and iterate based on user feedback.
  • Build and maintain RESTful APIs using FastAPI and Python microservices to serve Large Physics Models to end users.
  • Work with platform software engineers to deploy applications to the cloud using Helm, Kubernetes, Terraform, and AWS or Azure.
  • Distill solutions from multiple use cases into fundamental components.
  • Propose and execute features on the core platform offering.
  • Drive development direction to help the company solve increasingly complex customer problems.

About the Company

PhysicsX

Physics AI platform for industrial engineering

PhysicsX uses physics-based artificial intelligence for industrial engineering, combining machine learning with physics simulations to shorten design and operation cycles for aerospace, energy, and automotive sectors. Its platform replaces multi-day simulations with near-real-time models that predict performance, helping teams test ideas faster while reducing emissions and costs. It differs from competitors by delivering physics-driven AI with fast, scalable simulations tailored to large, complex industrial systems, supported by a slate of major investors and industrial partners. The company aims to speed up product development and drive broad adoption of physics AI across industrial sectors.

Company size
201-500
Company stage
Series C
Total funding
$487M
Headquarters
London, United Kingdom
Founded
2019

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