Full-Time

Senior Frontend Software Engineer

Simulation Workbench

Updated on 5/8/2026

PhysicsX

PhysicsX

201-500 employees

AI-driven simulations for engineering optimization

No salary listed

London, UK

Hybrid

Hybrid model; in-office presence in London (Shoreditch) with remote days.

Category
Software Engineering (1)
Required Skills
JavaScript
React.js
Github Actions
GraphQL
TypeScript
REST APIs
Plotly
HTML/CSS
OAuth
Requirements
  • A passion for the craft — a drive for engineering excellence and a commitment to sponsoring that culture across the team.
  • Strong software engineering foundations — algorithms, data structures, and system design, with a passion for writing clean, maintainable, and testable code.
  • You are a frontend engineer, not a framework developer — you understand the web platform deeply (HTML, CSS, JavaScript, browser APIs) and can build excellent interfaces regardless of the tech stack.
  • Architectural versatility — proven track record building web-based user interfaces using a variety of architectural approaches — SPAs, server-rendered applications, hybrid architectures, micro-frontends — with a critical perspective on when each is the right choice.
  • Experience with React and TypeScript is expected, but your identity is not defined by them.
  • Web platform depth — strong understanding of how browsers work: rendering pipelines, layout and paint, networking, caching, the JavaScript event loop, and Web APIs.
  • API and data handling maturity — experience designing frontends that integrate with complex backends via REST, GraphQL, WebSockets, and SSE, with attention to caching strategies, data access patterns, and forward compatibility.
  • Reliability and observability mindset — experience defining performance standards and SLAs, implementing monitoring/alerting, and optimising observability in production environments.
  • Security and accessibility awareness — familiarity with OAuth/JWT, XSS/CSRF prevention, WCAG, and ARIA standards; experience collaborating with backend teams on security risk mitigation.
  • CI/CD and deployment expertise — hands-on experience building and optimising CI/CD pipelines (e.g. NX, GitHub Actions, monorepos), including multi-service and zero-downtime deployment strategies.
  • Data visualisation experience — building rich, interactive visualisations using libraries such as Plotly, ECharts, Three.js, VTK, or WebGL to expose complex simulation data to end-users.
  • Diagnostic and optimisation skills — a proactive mindset with the ability to identify and resolve complex performance bottlenecks from first principles — in rendering, networking, and data processing — rather than relying on framework-level fixes.
  • Communication and leadership — excellent communication skills to discuss data needs with research scientists and translate them into technical specifications. Experience mentoring engineers and facilitating technical decisions.
Responsibilities
  • Build and evolve a frontend platform that supports complex simulation and ML workflows — from 3D visualisations to seamless API integrations and data-heavy interfaces.
  • Design and implement composable frontend architectures and component systems, including micro-frontend patterns, to enable scalable and maintainable development.
  • Optimise user experience through advanced caching strategies, performance monitoring, layout and paint optimisation, and accessibility best practices.
  • Design and implement advanced state management and data flow patterns to handle the demands of real-time simulation data and complex user interactions.
  • Own your work end-to-end — from architectural design through to deployment and maintenance in a fast-paced, agile environment.
  • Define performance standards and SLAs for the services you own; diagnose and resolve complex performance bottlenecks in rendering, layout, and data handling.
  • Collaborate with backend engineers on the implementation of security risk mitigation strategies and performance optimisations for frontend applications.
  • Drive best practices in CI/CD, automated testing, observability, and infrastructure-as-code; build and maintain deployment pipelines including zero-downtime and multi-service deployments.
  • Author and review Technical Decision Records; participate in Technology Radar reviews to evaluate and adopt new tools and approaches.
  • Mentor junior engineers, facilitate technical discussions, build consensus around decisions, and translate research needs into well-defined technical requirements.
Desired Qualifications
  • Polyglot Frontend Thinking: comfort working beyond the JavaScript ecosystem — whether that means WebAssembly, compiled-to-JavaScript languages, or non-SPA architectures. Willingness to reach for the right tool rather than the familiar one.
  • 3D and GPU Technologies: deep experience with WebGL, WebGPU, or WebAssembly for high-performance rendering of simulation data, meshes, and point clouds.
  • Design Sensibility: understanding of the limitations and trade-offs of design, layout, and typography constraints in the browser, with the ability to work with designers to reach a middle ground.
  • Advanced Testing Techniques: experience with fuzzing, deterministic simulation testing, or fault injection in production systems; strong foundation in End-to-End and integration testing across different architectural patterns.
  • Domain Knowledge: understanding of 3D geometry processing (meshes, point clouds) and the specific data structures used in physics-based simulations.

PhysicsX develops AI-driven simulations and engineering analysis to help clients design and operate machines in advanced industries such as renewable energy, healthcare, and transportation. Its products work by pairing machine learning with physics-based simulation to model how devices behave, optimize designs, and improve operational processes. This enables more efficient medical devices, lower emissions from aircraft and vehicles, and better performance of wind turbines and other systems. Compared with competitors, PhysicsX combines deep engineering know-how with AI-driven simulation to deliver tailored, project-based or long-term services for sectors with climate and health impact, backed by leadership with extensive R&D experience. The company aims to drive meaningful performance gains for clients while advancing engineering breakthroughs that benefit society, emphasizing sustainable growth and positive societal outcomes.

Company Size

201-500

Company Stage

Late Stage VC

Total Funding

$187M

Headquarters

London, United Kingdom

Founded

2019

Simplify Jobs

Simplify's Take

What believers are saying

  • EU Industrial AI Cloud adoption via Deutsche Telekom and NVIDIA expands sovereign European manufacturing infrastructure.
  • Siemens integration into Teamcenter embeds PhysicsX into enterprise CAE workflows, driving long-term contract expansion.
  • Defense and aerospace demand surge amid geopolitical tensions accelerates adoption in high-margin, mission-critical sectors.

What critics are saying

  • NVIDIA GPU supply lock-in enables commoditization or replacement via NVIDIA Omniverse within 12-24 months.
  • EU AI Act Level 3 classification mandates costly transparency audits, halting medical device deployments by Q3 2026.
  • Ansys bundles simulation with AI via Google Cloud, eroding PhysicsX market share in aerospace and automotive.

What makes PhysicsX unique

  • Physics-informed AI models reduce simulation time from days to seconds across aerospace, semiconductors, and automotive.
  • Founded by ex-F1 engineers; integrated platform connects design, manufacturing, and operations lifecycle stages.
  • Large Physics Models encode domain knowledge, delivering 50-70% time and cost savings on new projects.

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Benefits

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Parental Leave

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Remote Work Options

Company News

EU-Startups
Nov 19th, 2025
PhysicsX nears unicorn with €133M funding

PhysicsX, a London-based physical AI company, announced an extension to its Series B funding round, raising over €133 million ($155 million) with new investment from NVentures, NVIDIA’s venture capital arm. This brings the company's valuation to nearly €863 million ($1 billion). The round was led by Atomico, with participation from Temasek, Siemens, and others. PhysicsX aims to transform engineering and manufacturing with AI-native solutions, and its platform will be available on NVIDIA's Industrial AI Cloud for Europe.

Tech Funding News
Nov 7th, 2025
PhysicsX secures $100M from Nvidia

PhysicsX, a startup focused on aerospace and defense manufacturing, is set to raise up to $100 million from Nvidia. This follows a $20 million funding round in June and a $135 million Series B earlier this year. Nvidia's investment highlights its interest in European startups that align with its ecosystem. Nvidia may contribute an additional $80 million in future funding rounds, indicating a long-term partnership. PhysicsX's platform reduces prototyping needs, cutting costs and development time.

Manufacturing Digital
Nov 6th, 2025
How Deutsche Telekom, PhysicsX & Nvidia are Fueling Industry

How Deutsche Telekom, PhysicsX & nvidia are fueling industry. PhysicsX's AI-native engineering platform has been made available on Deutsche Telekom's Industrial AI Cloud, powered by NVIDIA accelerated computing PhysicsX has formed a partnership with Deutsche Telekom and NVIDIA in a bid to connect Europe's advanced industries. The partnership comes amid a fragmented global market and aims to strengthen European infrastructure. By blending AI platforms, cloud capability and digital infrastructure, the collaboration aims to boost manufacturing resilience. Establishing AI infrastructure. PhysicsX is a physical AI company which builds new software to deliver AI enablement across an entire engineering lifecycle. It partners with leaders in aerospace and defence, automotive, semiconductors, materials & energy and renewables. Now, its AI-native engineering platform is available to use across Deutsche Telekom's Industrial AI Cloud. The Industrial AI Cloud is Europe's new industrial AI infrastructure, which is powered by NVIDIA accelerated computing. By partnering together to blend technologies and infrastructure, PhysicsX is turning cloud capability into real-world engineering impact for Europe's industry. It is doing this through the connecting of sovereign infrastructure, enterprise-grade interoperability and an AI-native software stack. The joint venture marks the first step in Europe's journey towards establishing its own AI gigafactories, which are high performance spaces where physics-based AI will speed how industries design, test and manufacture intricate systems and specialised machines. Each company brings its own innovation and technology: * PhysicsX has the AI application * NVIDIA has the accelerated computing capacity * Deutsche Telekom powers the infrastructure, operations and security Through the merging of these three companies and skillsets, the initiative aims to help Europe's industries accelerate production cycles and scale innovation. Jacomo Corbo, CEO and Co-Founder of PhysicsX, says: "Industrial competitiveness increasingly hinges on AI enablement - and that, in turn, makes access to scaled GPU compute infrastructure a sovereign imperative. Deutsche Telekom and NVIDIA are building the world's first Industrial AI Cloud for European manufacturers, and we're thrilled that the PhysicsX platform will be a core part of its software stack." "Together with Deutsche Telekom, NVIDIA and Siemens, our shared mission is to make the most powerful AI both available and consumable to industrial enterprises - to hyper-accelerate every stage of the product lifecycle, from engineering to manufacturing to operations." Building resilience. The PhysicsX AI-native platform is a meeting point for data, models and compute. It brings NVIDIA AI infrastructure to industrial organisations, enabling integration of governed product data, training of physics-informed models and their deployment into engineering workflows. Through integrations to Siemens, PhysicsX fits into how engineers already work. It provides seamless data integration to avoid workflow disruption and connects to Teamcenter for product data management, access control and change processes. This lets it operate within CAE environments to automate data generation, enable simulation-in-the-loop learning and support cross-disciplinary collaboration. PhysicsX runs natively on NVIDIA accelerated computing and integrates with NVIDIA systems and the wider PhysicsX stack. Together, these make production-ready physical AI possible, delivering real-time inference, high-fidelity digital twins and agentic generative workflows that continuously improve. The result is a data-driven loop spanning design, simulation and validation through to continuous manufacturing and operations. It strengthens supply chain and production resilience and allows businesses to deploy industrial AI at pace. "Artificial intelligence is the backbone of the next industrial revolution," says Ferri Abolhassan, Board member at Deutsche Telekom and CEO T-Systems International GmbH. "The strength of Europe and Germany will be determined by whether we design the necessary infrastructure and measures ourselves," "With the Industrial AI Cloud, we have reached a milestone today - together with our partners and first customers - for a sovereign future." Through this partnership, the companies are working to turn cloud capability into real-world engineering impact across Europe's manufacturing industry. By integrating these systems, manufacturers could see new levels of efficiency and business resilience.

PhysicsX
Aug 5th, 2025
PhysicsX - PhysicsX Raises $135M Series B to Usher in a New Era of AI-Native Engineering and Manufacturing

PhysicsX, a London-headquartered company accelerating industrial innovation with AI, announced today that it had raised $135 million as part of its Series B financing.

Silicon Canals
Jun 23rd, 2025
London's AI startup PhysicsX raises €117.4M in Atomico-led round to reshape engineering and manufacturing

London-based PhysicsX, a deeptech startup building AI to power engineering, has secured $135M (nearly €117.43M) in Series B funding led by Atomico.