We are building a Physics-Informed Foundational Model to understand GPU and compute health. We derive physics-grounded stress signals: effective-stress proxies, semiconductor degradation estimates, and dynamical mathematical features, and use them to assess hardware health over time. The feature pipeline runs end to end. You'll be building the model and fusion layer on top of it.
You will own the modeling: designing the fusion layer (how physics-based and dynamical features combine into a coherent health signal) and the temporal modeling layer (a physics-informed model, PINN-style, where empirical stress signals drive part of the loss and a physics-based degradation model informs another part).
The exact formulation of the physics term is still evolving, you'll be involved in shaping it. You'll work as part of a small, technical team alongside the founder and other domain experts.
What you'll do
- Build the temporal model: design and train a physics-informed sequence model (e.g. LSTM or similar temporal architecture) for degradation and health prediction,



incorporating a physics-based loss term alongside the data-driven loss.
- Design the fusion layer: define how physics-based stress features, dynamical/mathematical features, and other signals combine into model inputs and a defensible health score, replacing today's simple hand-set weighting.
- Calibrate the physics-informed components: our stress-proxy parameters are currently engineering priors. You'll help design and execute calibration strategies against whatever outcome labels are available.
- Harden the feature pipeline: the pipeline is Python/pandas over time-aligned multi-sensor telemetry; you'll extend and maintain it (feature audits, label engineering, data-quality gates) as modeling needs dictate.
- Communicate: write transparent analysis docs and defend modeling choices to technical stakeholders and clients.
Must-haves
- Has actually built and trained physics-informed models — a physics-based term in the loss

📌 Physics-Informed Machine Learning Engineer (India)
🏢 Svitla Systems
📍 India