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PhysicsX | Principal AI Engineer | London / NY / Remote | Full time | physicsx.ai

We're building an AI-native platform that turns physics simulations from days-long jobs into millisecond inference. Think: training deep learning surrogates on CFD, FEA, thermal data, and Large Physics Model (LPM) frontier research so engineers can explore thousands of design variants in a single session — across aerospace, semiconductors, energy, and automotive.

You should have the scar tissue of running agents in production and strong opinions on what the future looks like.

We're ~170 people, raised $135M Series B, and backed by General Catalyst, Atomico, Siemens, and Applied Materials. The team includes people from F1, SpaceX, Google, Palantir, and Tesla.

If this sounds interesting: https://job-boards.eu.greenhouse.io/physicsx/jobs/4804769101

Or email me directly: joel.schwarzmann [at] physicsx [dot] ai



January 6th was so egregious, I'm really not sure why they felt the need to exaggerate it.


I think it’s unbiased to say that Jan 6 was about Trump more than any other person. No matter how you pore over his speech, he’s purposefully unclear about what “we” means and how the “fight” should start. No one analyzed the speech in realtime for its most-influential lines and this edit reflects what the rioters heard and felt.


Huge fan of Ibis, the value isn't that you can now use DuckDB... it's that your syntax will work when the next cool thing arrives too


Or you use Ibis and switch between the two at will!


I'd put this in the readme!


Big fan of evidence, really elegant design. There is also space for both declarative and imperative approaches when it comes to dashboarding / reporting etc.


The native GitHub feature in preview will make this a lot better for those able to use it https://github.blog/changelog/2023-03-01-feature-preview-ric...


This feature has resolved the problem for our team.


Whilst I hate it - Jinja is so much more accessible for SQL coders.


I'm not sure it's framed like that, it's specifically talking about production patterns


'production' for many kinds of data analysis is not the same kind of production as for, say, a web app or service. You can have a production environment for running ad hoc jobs.


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