PhysicsX
As of 30 October 2026, PhysicsX has 42 open roles (6 new in 30 days), its data & ai team is hiring most, and its postings name Python, Siemens NX and Kubernetes as the tools the team works in.
As of 30 October 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- London, England, United States
- Employees
- 51-200 employees (linkedin)
- Sells to
- semiconductors industry, aerospace & defense industry, materials industry
- Certifications on site
- Site languages
- EN
- Career system
- Greenhouse
PhysicsX in one screen
Read from physicsx.ai: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
PhysicsX is an AI software platform that embeds physics AI directly into engineering workflows, unifying simulation, physics AI, data, and engineering applications into a single foundation. It serves industrial organizations across semiconductors, aerospace & defense, materials, energy & renewables, and automotive sectors. The platform is described as an AI-native engineering software stack.
Named on the site: semiconductors industry, aerospace & defense industry, materials industry, energy & renewables industry, automotive industry, aerospace and defense, energy and renewables.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 597 scored.
What PhysicsX says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
Backend development: Build and maintain RESTful APIs (FastAPI) and microservices in Python to serve Large Physics Models to the end users.Exposure to parametric CAD modelling (NX or CATIA) and coding in Python/Java - or a demonstrated ability to pick up new tools and languages quickly - is an advantage.
• Navigate Kubernetes (EKS, AKS and others): inspect workloads, ingress, permissions and cluster health, read events and logs, and work out what’s failing and why.We use a mixture of Helm, Kubernetes, Terraform, and AWS/Azure for provisioning and running our infrastructure.• Build and maintain containerized job job environments (Docker, Enroot/Pyxis) for reproducible research workflowsArgo CD) or drift from Git.• Own MDM strategy and operations across the device fleet (macOS/Windows/Linux/Mobile): enrolment, compliance baselines, patch management, and endpoint security posture.• HPC: job scheduling, MPI-based distributed computing, GPU acceleration and performance tuning for large-mesh transient simulations on cloud (Flux) and on-premise resources• Use the cluster to look and Git to change.What we use today (a snapshot, not a requirement): Kubernetes, Argo CD, Docker, Helm, Prometheus-style monitoring, Linear for engineering work, Slack for coordination, and Zendesk for our ticketing platform.What we use today (a snapshot, not a requirement): Kubernetes, Argo CD, Docker, Helm, Prometheus-style monitoring, Linear for engineering work, Slack for coordination, and Zendesk for our ticketing platform.We use a mixture of Helm, Kubernetes, Terraform, and AWS/Azure for provisioning and running our infrastructure.We use a mixture of Helm, Kubernetes, Terraform, and AWS/Azure for provisioning and running our infrastructure.The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others.Vendors whose code loads on physicsx.ai or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
42 open roles, 17 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring data & ai in United States →
| open · new 30 d | |
|---|---|
| Data & AI | 10 · 0 |
| Engineering (non-software) | 10 · 3 |
| Software engineering | 8 · 0 |
| IT operations & business systems | 2 · 0 |
| Arts media and entertainment | 1 · 0 |
| Marketing & communications | 1 · 0 |
| Product, program & project management | 1 · 1 |
| Travel, leisure & events | 1 · 0 |
| Unclassified | 1 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add PhysicsX to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like PhysicsX
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 597 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
PhysicsX (London, United States, 51-200 employees) has 42 open roles, 6 new in 30 days, and names 14 tools in its postings. (Breaknorm, 30 October 2026, https://breaknorm.co/company/physicsx.ai)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from physicsx.ai: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Greenhouse career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
PhysicsX: questions
Does PhysicsX use Python?
Yes, by the company's own words: 29 postings name it, first seen 2025-08-12, in the engineering (non-software) team.
Is PhysicsX hiring?
42 open roles as of 30 October 2026, 6 opened in the last 30 days and 1 closed. The largest team hiring is data & ai.
Where does this profile come from?
From physicsx.ai itself: we crawled it on 2026-08-03, built the profile on 2026-08-15, and read its career site (Greenhouse) hourly since. Headcount is from LinkedIn.
Who should I write to at PhysicsX?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 4 public role addresses from the site are there too.
Get this company your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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