Technical Writer
About the job
- Demonstrable experience in technical writing, developer relations, or documentation engineering.
- Experience in curriculum, training, or technical documentation.
- Strong proficiency with Markdown and experience working in Markdown or AsciiDoc files.
- Experience with version control via GitHub.
- Comfort with docs-as-code workflows and CI/CD integration.
- Familiarity with the Diataxis documentation framework, including tutorials, how-to guides, reference, and explanation.
- Comfort using company documentation guidelines and agentic writing skills.
- Ability to write clear, concise prose that respects readers' time.
- Ability to assess documentation from the target reader’s perspective and ensure technically literate non-specialists can understand and complete documented workflows independently.
- Ability to verify technical accuracy independently, without relying on engineers to write the content.
- Ability to build coherent information architectures and document connected systems rather than features in isolation.
- Ability to coordinate across a wide set of subject matter experts, particularly within user-enabling Delivery.
- Scope detailed how-to guides per topic as directed by Product User Enablement GTM leadership, using existing Product and Delivery materials to build repeatable, distributable guides and incorporating new product features as they ship.
- Create and publish new how-to guides, coordinating with subject matter experts and using pre-built skills and writing rules.
- Maintain all existing guides on a regular schedule.
- Partner with the curriculum lead so published guides provide a reliable technical foundation for training, while curriculum design, learning pathways, exercises, and trainer materials remain owned by the curriculum lead.
- Obtain approval from GTM leadership and relevant subject matter experts for every user guide before publication.
- Identify documentation needs and manage the guide lifecycle, including research, drafting, validation, publication, release updates, testing, and maintenance.
- Develop foundational machine-learning explainer content for technical and non-technical readers and support new feature rollouts.
- Ensure priority workflows have accurate, tested how-to guides; maintain guides alongside platform releases; track documentation gaps and stale content in a visible backlog; and enable product users to complete common workflows independently.
- Own procedural, task-based documentation as the single source of truth for product guidance.
- Experience with MkDocs or a similar tool such as Mintlify or Zensical, Markdown, and Sphinx.
- A background in a physical industry such as simulation, machine learning, design, or manufacturing.
- Experience documenting APIs, SDKs, or developer tooling.
- A background in simulation or engineering workflows.
- Familiarity with scientific computing libraries such as NumPy and SciPy.
- Understanding of how AI agents consume documentation, including structured descriptions and tool schemas.
- Prior freelance experience in this space, including ability to convert to a permanent role and start with no notice period.
About the company
PhysicsX builds physics-based artificial intelligence for industrial engineering, using machine learning and physics-based simulation to shorten design and operation cycles for aerospace, energy, automotive and related sectors. Its platform replaces multi-day simulations with near-real-time models that predict performance, enabling rapid testing and optimization while reducing emissions and costs. The approach combines physics-driven AI with fast simulations tailored to heavy industries, delivering scalable, near-immediate insights for large engineering teams and complex systems, with support from major investors and industrial partners. The goal is to speed up product development and drive widespread adoption of physics AI across industrial sectors.
Company Size
201-500
Company Stage
Series C
Total Funding
$487M
Headquarters
London, United Kingdom
Founded
2019
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Simplify's Take
What believers are saying
- September 2026 jet-engine bracket research showed an 18.5% weight reduction versus top human designs.
- PhysicsX doubled recognized revenue, tripled booked revenue, and exceeded 300 employees by June 2026.
- British Business Bank invested $25 million, helping U.K. expansion and enterprise credibility.
What critics are saying
- Siemens Simcenter, Ansys, and Dassault SIMULIA can bundle PhysicsX out of enterprise accounts.
- PhysicsX admitted a six-month demand backlog in June 2026, risking churn and implementation delays.
- If customers reject physics AI validation, PhysicsX becomes an expensive research vendor, not core infrastructure.
What makes PhysicsX unique
- PhysicsX turns simulation into AI inference, cutting engineering cycles from days to seconds.
- June 2026 Series C attracted Temasek, NVIDIA, Siemens, Applied Materials, signaling deep industrial trust.
- Its Large Physics Models target aerospace, semiconductors, automotive, and energy workflows across the lifecycle.
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Benefits
Company Equity
Paid Vacation
Parental Leave
Flexible Work Hours
Remote Work Options
Growth & Insights and Company News
6 month growth
↑ 66%1 year growth
↑ 66%2 year growth
↑ 60%Industrial companies and venture capitalists are investing heavily in digital validation software that predicts physical behaviours before prototyping. In 2026, the global market for these tools is drawing significant capital, with AI-focused startups attracting large funding rounds. PhysicsX raised $135 million in a Series B led by Atomico, with Siemens and Applied Materials participating. Finland's Quanscient secured €10 million in Series A funding from 55 North. These investments signal that deep-tech investors now view advanced mathematical modelling as a growth sector. Enterprise decision-makers rely on established platforms such as SIMULIA by Dassault Systèmes, which acts as a validation gate for complex manufacturing processes. Other vendors including Ansys, Siemens Simcenter and Hexagon-MSC maintain strong positions in automotive and aerospace supply chains. The shift from physical to digital validation addresses sustainability requirements and shortened time-to-market pressures, whilst reducing material waste and costly design flaws.
PhysicsX: AI beats humans in jet engine component design. September 02, 2026 NVIDIA-backed PhysicsX published research showing how its physics engineers use generative 3D AI to bypass CAD rules and reduce jet engine weight by 18.5% British startup PhysicsX describes itself as 'the physics AI company for industrials'. The firm recently raised US$300m at a US$2.4bn valuation. The company has published a blog that details how PhysicsX researchers adapted 3D AI foundation models using physics-guided diffusion loops to bypass traditional CAD constraints and automatically generate optimised engineering geometries. The researchers then demonstrated this by creating a jet engine bracket 18.5% lighter than top human designs. Almost every hard problem in the physical economy - better aircraft, better chips, better engines, better energy systems - comes down to how fast and how well engineers and machine operators can work through the underlying physics. For decades, that has been the binding constraint on hardware innovation. Jacomo Corbo, Co-Founder & CEO of PhysicsX Transforming jet engine design with AI. Most engineering workflows rely on parametric CAD, trapping designs within predefined parameters. PhysicsX engineers Daniel Owen-Lloyd and Sanmitra Ghosh note in a blog that 3D foundation models like TRELLIS.2 produce visual assets rather than functional engineering components. To bridge this, PhysicsX uses Low-Rank Adaptation (LoRA) to fine-tune these models on small datasets, generating physically meaningful variations even from a single bolt. To enable simulation, PhysicsX automatically repairs rough 3D geometries so production solvers run without crashing. Because standard solvers cannot directly guide AI generation, the team trains differentiable surrogate models as fast physics judges. These surrogates pair with an SDEdit diffusion loop that iteratively mutates candidate designs, keeping only the tweaks that pass the physics test. Validating the framework on the SimJEB titanium jet engine bracket benchmark, PhysicsX initialised its optimisation loop from the winning human design. The AI discovered a novel split-support geometry meeting all stress constraints while cutting weight by 18.5% without traditional CAD rules, proving generative 3D AI can expand the design envelope beyond human engineering limits. * Parametric CAD locks component design within rigid, predefined parameters * PhysicsX adapted 3D AI models using physics-guided diffusion loops * Fast surrogate physics judges guide AI generation without standard CAD rules * Researchers validated the generative AI framework on the SimJEB titanium bracket * AI beat top human designs, creating a jet engine bracket 18.5% lighter. The change PhysicsX is driving. Founded in 2020, PhysicsX describes its mission as accelerating hardware innovation by overhauling what industrial engineering and manufacturing look like. PhysicsX is building a new software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace and defence, automotive, semiconductors, materials and energy and renewables, supporting them on some of the most critical and complex challenges. Jacomo Corbo, Co-Founder & CEO of PhysicsX, says: "Almost every hard problem in the physical economy - better aircraft, better chips, better engines, better energy systems - comes down to how fast and how well engineers and machine operators can work through the underlying physics. For decades, that has been the binding constraint on hardware innovation. "Physics AI removes it. AI Magazine is giving engineers the ability to explore thousands of designs where they once managed a handful, in seconds rather than weeks, across the most demanding industries in the world. "We are also enabling more reliable, more efficient and altogether new ways of doing engineering, manufacturing and production. This financing lets us put that capability in the hands of more engineers and push the frontier toward ever larger and more capable Large Physics Models." The democratisation of technology across industrials. Robin Tuluie, Founder and Chairman of PhysicsX, adds: "High-fidelity physics simulation has always been powerful, but it has also been slow, costly and the preserve of a small group of specialists. "Physics AI changes that in every dimension. It makes high-fidelity simulation dramatically more efficient, augments and improves on pure simulation results with ingestion of real-world data into its Large Physics Models and opens it to applications that were never practical before. "We believe in the democratisation of this technology to broad technical profiles across an industrial organisation - engineers, designers and operators who previously couldn't run these analyses themselves. As that capability spreads, its utility compounds across the business. That's the change we're driving." Key partners. PhysicsX's most recent funding round in June was led by Temasek, with participation from new investors M&G Investments and Intrepid Growth Partners, alongside existing investors including: * Applied Materials is a global leader in materials engineering, semiconductor manufacturing equipment and advanced display software. * Atomico is a prominent London-headquartered venture capital firm that backs European technology startups from Series A through growth stages. * General Catalyst is a global venture capital firm providing early-stage and growth capital to transformational technology companies. * July Fund is a New York-based venture capital firm focused on early- to growth-stage investments across deeptech, aerospace and enterprise software. * NGP is a global venture capital firm investing in growth-stage technology startups across industrial technology, cybersecurity and enterprise software. * NVIDIA is a global technology leader in GPU microchips, AI hardware infrastructure and accelerated computing platforms. * Radius is a venture capital firm focused on growth-equity investments across enterprise technology, deeptech and health sciences. * Siemens is a German multinational industrial technology and automation giant specialising in smart infrastructure, digital transformation and manufacturing solutions. Company Portals
The British Business Bank has invested $25m in PhysicsX, a UK-based physics AI company for industrial engineering, as part of its Series C round led by Temasek. The investment includes participation from M&G Investments and marks the fourth deal from the £200m British Growth Partnership Fund I. PhysicsX builds AI-native simulation software for industries including aerospace, semiconductors, automotive, and energy. Its Large Physics Models predict physical behaviour in near-real time, replacing conventional simulations that can take days or weeks. The company has doubled recognised revenue year-over-year, tripled booked revenue, and more than doubled its customer count. Its workforce has grown to over 300 people, doubling in the past year. The funding will support global expansion and development of more advanced pre-trained physics AI models.
PhysicsX secures backing from British Business Bank as part of Series C funding round. The British Business Bank has invested $25m into PhysicsX, the physics AI company for industrials, as part of its Series C financing. The investment includes the fourth investment made by British Growth Partnership Fund I since its £200m first close. The round, led by Temasek, includes an investment from M&G Investments, demonstrating how the British Growth Partnership's co-investment model can bring additional pension fund capital into UK venture. Pension funds can increase exposure to fast-growing UK companies while businesses can tap into large pools of domestic institutional capital. Founded and headquartered in the UK, PhysicsX is building the new simulation software stack for industrial engineering. Its AI-native platform enables organisations across aerospace & defence, semiconductors, data centres & energy production, automotive, and materials to design, manufacture, and operate next-generation hardware faster and more efficiently. In doing so, it strengthens the productivity and competitiveness of advanced industrial sectors that underpin the UK and global economy. At the core of the platform are PhysicsX's Large Physics Models - physics foundation models that predict the physical behaviour of complex systems in near-real time rather than the days or weeks often required by conventional numerical simulation. By embedding AI inference into traditional engineering workflows, the technology empowers industrials to accelerate development cycles, reduce costs, and unlock breakthrough asset performance, supporting the UK's ambitions to remain a global leader in advanced engineering and manufacturing. The financing comes amid rapid growth. PhysicsX has doubled year-over-year recognised revenue, tripled booked revenue, while more than doubling its customer count over the past year. The team has grown to more than 300 people, doubling in size in the last twelve months. This round will accelerate the company's global growth, the expansion of its platform capabilities, and frontier research, including the development of larger, more powerful pre-trained physics AI models. Charlotte Lawrence, managing director and head of direct equity at the British Business Bank, said, "PhysicsX is redefining how complex products are designed and built. Their platform combines world-class engineering heritage with frontier AI capability to create a company that we believe can be a global leader. As their technology is adopted by the world's top industrial companies, we are thrilled to back their continued expansion whilst also allowing UK pension owners to share in the success of a true global innovator." Ian Connatty, managing partner of the British Growth Partnership and deputy CIO of the British Business Bank, said, "The British Growth Partnership was created to connect pension funds with the UK's fastest growing companies. This transaction shows that model in action, and that we have built a platform for domestic pension fund capital to flow into the UK's technology leaders." Jacomo Corbo, co-founder & CEO of PhysicsX, said, "The opportunity to transform how humanity designs, builds, and operates the world's most critical infrastructure is one of the defining technological opportunities of our time. PhysicsX exists to realise that opportunity. We are building frontier physics AI technology in Britain, scaling it globally, and helping the world's leading industrial companies innovate faster and unlock a new era of productivity. As the UK seeks to strengthen its position in advanced manufacturing and industrial AI, we're proud to be contributing to that ambition from our headquarters in London, with the British Business Bank as an investor and partner in that journey." Niranjan Sirdeshpande, head of Catalyst at M&G Investments, said, "PhysicsX is an excellent example of the type of high-growth, technology-led business that institutional investors want to back. M&G has supported the company's growth both through Catalyst's direct investment and through our backing of British Growth Partnership, helping to channel long-term pension fund capital into innovative UK businesses with significant global potential. This investment demonstrates how government and industry can work together to improve access to growth capital for UK businesses, supporting innovation, skilled jobs and economic growth, while delivering attractive long-term returns for savers." In addition to PhysicsX, British Growth Partnership Fund I has invested in Wayve, Elliptic, and Draig Therapeutics.
PhysicsX secures $300 million to transform engineering with AI. Valuation surpasses $2.4 billion. By Newsroom Last updated Jun 10, 2026 UK-based startup PhysicsX, which leverages artificial intelligence to accelerate engineering design and simulation processes, has secured $300 million in new funding, bringing its valuation to $2.4 billion. The new valuation is more than double the company's valuation from roughly a year ago, when it raised $170 million in a Series B round at a valuation of nearly $1 billion. Since its founding, PhysicsX has raised approximately $500 million in total funding. The latest funding round was led by Singapore's state-owned investment firm Temasek, which was already an investor in the company. Existing investors Applied Materials, Nvidia, Atomico, General Catalyst, and Siemens also participated in the round, while new capital came from M&G and Intrepid Growth Partners. Founded by two former Formula 1 engineers, PhysicsX focuses on applying artificial intelligence to improve product design processes in the manufacturing and defense industries. The company develops technologies aimed at dramatically accelerating complex design and simulation workflows, reducing tasks that traditionally took months to complete to processes that can now be performed in seconds. According to the company, the engineering and advanced manufacturing sectors face significant challenges due to limited resources and shortages of specialized talent, while also having to cope with increasing technological complexity and faster rates of change. PhysicsX, which employs approximately 350 people, believes that engineering software built from the ground up for the AI era can address some of the most critical challenges related to hardware innovation. The new funding will be used to further develop the company's platform, strengthen its AI research efforts, and support the international expansion of its operations. Among PhysicsX's immediate plans are expanding its presence in the United States and opening a new office in Singapore.