Teams at PhysicsX

Design, operate, and optimize distributed training and serving infrastructure for large physics models on GPU/HPC platforms. Solve large-scale data I/O bottlenecks, build experiment tracking and observability, enable reproducible model packaging and deployment, and improve research developer experience while collaborating closely with research scientists and ML engineers.

Lead development and deployment of deep learning and probabilistic models for multi-physics engineering problems. Architect scalable data pipelines, collaborate with simulation engineers, drive R&D, mentor junior team members, and work directly with customers to integrate models into production, including onsite customer collaboration and presentations.

As a Forward Deployed Software Engineer, you will develop applications leveraging physics AI models, collaborating with data scientists and customers, and design E2E solutions while deploying APIs and microservices.