Forward Deployed Software Engineer
About the job
- A track record of solving complex problems is required.
- A solid foundation in software engineering, API design, and deploying applications to production is desired.
- Ability to grasp advanced engineering concepts across multiple industries and understand engineering problems.
- Proactivity and ownership in identifying problems and solving them end-to-end.
- Ability to work alongside customers to understand their problems and build applications that address them.
- Build and deploy applications that use physics AI models to help customers build better, faster, and more cost-effectively.
- Work directly with customers, data scientists, and machine learning engineers to develop applications for advanced engineering.
- Travel to customer sites across North America, Europe, Asia, and Oceania for an average of 3–4 weeks per quarter to collaborate on-site with customers.
- Collaborate with data scientists and machine learning engineers to ship physics models to customers.
- Work with designers and front-end engineers to shape the user experience according to customer needs.
- Work with customers to design impactful tools, build prototypes, deliver them to customers, and iterate based on user feedback.
- Build and maintain RESTful APIs using FastAPI and microservices in Python to serve Large Physics Models to end users.
- Work with platform engineers to deploy applications to the cloud using Helm, Kubernetes, Terraform, and AWS or Azure.
- Distill solutions from multiple use cases into fundamental components and develop features for the core platform.
- A background in Mechanical Engineering or a similar field is a plus.
About the company
PhysicsX builds physics-based artificial intelligence for industrial engineering, using machine learning and physics-based simulation to shorten design and operation cycles for aerospace, energy, automotive and related sectors. Its platform replaces multi-day simulations with near-real-time models that predict performance, enabling rapid testing and optimization while reducing emissions and costs. The approach combines physics-driven AI with fast simulations tailored to heavy industries, delivering scalable, near-immediate insights for large engineering teams and complex systems, with support from major investors and industrial partners. The goal is to speed up product development and drive widespread 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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Simplify's Take
What believers are saying
- September 2026 jet-engine bracket research showed an 18.5% weight reduction versus top human designs.
- PhysicsX doubled recognized revenue, tripled booked revenue, and exceeded 300 employees by June 2026.
- British Business Bank invested $25 million, helping U.K. expansion and enterprise credibility.
What critics are saying
- Siemens Simcenter, Ansys, and Dassault SIMULIA can bundle PhysicsX out of enterprise accounts.
- PhysicsX admitted a six-month demand backlog in June 2026, risking churn and implementation delays.
- If customers reject physics AI validation, PhysicsX becomes an expensive research vendor, not core infrastructure.
What makes PhysicsX unique
- PhysicsX turns simulation into AI inference, cutting engineering cycles from days to seconds.
- June 2026 Series C attracted Temasek, NVIDIA, Siemens, Applied Materials, signaling deep industrial trust.
- Its Large Physics Models target aerospace, semiconductors, automotive, and energy workflows across the lifecycle.
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Benefits
- Company Equity
- Paid Vacation
- Parental Leave
- Flexible Work Hours
- Remote Work Options