PhysicsX
Teams at PhysicsX
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Machine Learning • Software
Own the roadmap for PhysicsX’s Cloud Developer Environment and release engineering products while incubating an agentic software factory. Lead discovery, prioritization, secure software delivery, disconnected deployments, staged releases, rollback, installation experiences, and measurement of delivery quality and speed. Partner with engineering and deployment teams to productize developer tooling for regulated, customer-operated environments.
Machine Learning • Software
Build and own backend platform capabilities enabling data scientists, machine learning engineers, and simulation engineers to create, train, and deploy physics-informed models. Collaborate cross-functionally with backend, frontend, design, data science, and simulation teams. Develop scalable, observable production software using Python and Go, including testing, containerization, CI/CD, authentication, event-driven messaging, and Kubernetes-based applications.
Machine Learning • Software
Owns the full lifecycle of task-based, in-platform technical documentation and how-to guides, from scoping and research through validation, publication, release updates, testing, and maintenance. Partners with curriculum leads, subject matter experts, Product, Engineering, and GTM leadership to ensure guides accurately support machine learning and simulation workflows. Maintains documentation backlogs, validates technical content independently, and keeps guidance current with platform releases.
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