Technical Writer
PhysicsX
Technical Writer
PhysicsX
Physics AI platform for industrial engineering
We are looking for a Technical Writer to own our task based, in platform documentation and how to guides. This person will be responsible for the complete guide lifecycle: identifying and scoping documentation needs, then research, drafting, validation, publication, release updates, testing, and maintenance. These guides will form the authoritative technical foundation for our curriculum and training programmes. The Technical Writer will work closely with the curriculum lead, who will continue to own learning architecture, exercises, assessments, trainer materials, and broader adoption initiatives.
Many customers do not have in house specialist knowledge in all areas of our platform capabilities, so the documentation must enable technically literate users to complete appropriate machine learning and simulation workflows independently. Guides should evolve with every platform release, and should be scoped starting at the engineering level and carried through to clear, customer facing guides. Early priorities include plugging existing gaps, building foundational machine learning explainer content for technical and non technical readers, and supporting new feature rollouts.
This role owns procedural, task based documentation. Curriculum, training, and business development consumes and builds on that documentation rather than recreating or independently maintaining the same content.
This role owns procedural, task based documentation as the single source of truth for product guidance. Curriculum, training, and enablement content build on these guides rather than recreating them.
PhysicsX uses physics-based artificial intelligence for industrial engineering, combining machine learning with physics simulations to shorten design and operation cycles for aerospace, energy, and automotive sectors. Its platform replaces multi-day simulations with near-real-time models that predict performance, helping teams test ideas faster while reducing emissions and costs. It differs from competitors by delivering physics-driven AI with fast, scalable simulations tailored to large, complex industrial systems, supported by a slate of major investors and industrial partners. The company aims to speed up product development and drive broad adoption of physics AI across industrial sectors.
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