Founding Engineer (ML Systems) – Godela
San Francisco, CA$120k - $180k + equityFull-timePosted 11mo ago
About the role
Founding ML Engineer to help build and scale the world’s first Physics Foundation Model, focusing on scalable, physics-informed ML systems and production-ready ML infra.
Responsibilities
- Developing scalable approaches to train high-accuracy, large-scale physics-informed models.
- Designing and testing new architectures for multi-physics and multi-scale modeling
- Optimizing training efficiency through distributed computing, GPU optimization, and performance tuning.
Qualifications
- Strong Python + PyTorch (or JAX/TF) skills.
- Proven experience delivering ML systems into production
- Experience with multi-GPU / multi-node training
- Experience training and deploying large-scale ML models with GPU acceleration and distributed workloads.
- Hands-on AWS experience (compute, storage, IAM, cuda) or other cloud infra provider.
- Background in building or scaling training pipelines, APIs, or ML infra that supports real-world products.
Skills
Required:PythonPyTorchDistributed trainingAWS
Last updated Aug 26, 2026. Interested? Apply on the company site.
About Godela
AI Physics Engine to replace simulations and prototypes
What if every experiment you wanted to run could be modeled using AI? Godela is an AI-powered physics engine that gives engineers faster, cheaper replacement to simulations and physical prototypes. No set up, no wait. Just ask—and get simulation quality result.
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