2026 PhD Residency - Physical ML & Hardware-in-the-Loop (Future of Compute)
Mountain Viewonsite$109K – $157K
via Greenhouse
About this role
Project Goal: This is the flagship moonshot for 'The Future of Compute' at X (the Moonshot Factory). This project is aimed at moving away from simulating physics on digital chips and instead building physical machines whose dynamics ARE the computation itself, achieving a 1,000,000x improvement in useful compute per Joule. This residency focuses on bridging the gap between physical dynamical systems and machine learning code. Instead of modeling physics in a vacuum, you will work directly with physical silicon test chips and laboratory instrumentation to make them trainable. You will build the software-to-hardware calibration pipelines that demonstrate we can train a real physical substrate to match digital baseline accuracy at a fraction of the energy cost.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, c++, pytorch, jax, linear
2
Level fit
We check your title trajectory against the seniority signal of the role.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Mountain View. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonc++pytorchjaxlinear
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