<div><h3>Overview</h3>Jua is working towards a universal physics simulator through a deep exploration of nature and the universe, their interaction with humans, business and the built environment. With a universal physics simulator, we collapse that barrier and help to use natural resources efficiently and sustainably whilst increasing human standard of living and spurring economic growth. By joining our talented multidisciplinary team, you'll help shape our culture of ambition, transparent communication, and rapid iteration. We offer exciting challenges, creative freedom, fair pay, and generous stock options.</div>What we’re looking forWe’re hiring a front-end–leaning full-stack engineer to help define and build the future of our platform.You should have a strong sense of design, deep empathy for users, and a general grasp of machine learning or the latest AI technologies. You don’t need to be a researcher or a math prodigy for this role, but we are specifically looking for candidates who approach problems from first principles and thrive in a culture that grants significant individual responsibility. We value people who are deeply curious about how systems fundamentally work—whether it's computers, satellites, AI, societies, or human psychology—and who are eager to collaborate with other exceptional individuals to broaden their perspective even further.You’ll thrive here if you’re driven to push the boundaries of the current state-of-the-art and expand human knowledge in forecasting and simulating the future. If you believe that hard work leads to outsized returns, enjoy taking ownership and building exceptional products, and have a talent for transforming complex systems into clear, fast, and elegant experiences, this is the place for you.Jua is currently evolving its core platform into two focused products:<ul><li>A developer-focused API platform designed for integrators and quants to access our prediction models &amp; data products for their daily trading operations. These users care about simple, smart and clean interfaces, low-latency data, and seamless integration via our SDK.</li><li>An AI-native product built for decision-makers like traders and meteorologists who want answers, not just data. Think of a geospatial reasoning layer for planet earth. This product uses agents based on language models to interact with our simulation models to deliver insights and decision support.</li></ul>You’ll simplify complexity for non-technical users while enabling technical users to work with precision and control.Location: Although we are a global team, it is a requirement that applicants are currently based in Zurich, Switzerland, working on a Hybrid working model.Our Tech Stack<ul><li>Frontend: TypeScript, React &amp; Tailwind</li><li>Design: Ultra minimalistic, lightweight design system. For some time now, we've entirely skipped the classic Wireframe–Figma–Component workflow and just vibe code most frontend components directly.</li><li>Visualization: ECharts, Three.js, Mapbox, Plotly, <a href="http://Deck.gl">Deck.gl</a> for map-heavy and time-series UI</li><li>Backend: Python, FastAPI, WebSockets, gRPC endpoints, little bit of rust, Zarr &amp; Clickhouse SQL db</li><li>ML Interfaces: Real-time inference, model metadata, probabilistic forecasts, &amp; geospatial datasets</li></ul>Responsibilities and tasks<ul><li>Own and shape full features and products end-to-end to support multiple products, user personas, and evolving data needs by building reusable UI components</li><li>Build intuitive, high-performance UIs for both technical users and decision-makers with a focus on clarity and responsiveness</li><li>Develop rich interfaces for time-series, geospatial, and probabilistic data, turning raw model outputs into decision-support tools</li><li>Collaborate with researchers and engineers to make complex model outputs usable and understandable</li></ul>Need-to-have<ul><li>4+ years of front-end engineering with React and TypeScript</li><li>Strong aesthetic sensibility and user-centered design mindset</li><li>Proven ability to ship fast, accessible, maintainable UIs at a high-quality bar</li><li>A desire to understand domain-specific workflows in energy, weather, or trading, and use that knowledge to build better interfaces</li><li>Exposure to data or ML APIs and eagerness to integrate model outputs into production UIs</li><li>Familiarity connecting React front ends to Python backends (FastAPI, WebSockets, gRPC)</li></ul>Nice-to-have<ul><li>Experience building products for expert users in domains such as energy trading, quantitative finance, or ML-ops</li></ul>About you<ul><li>You take initiative and drive outcomes. You don't wait for direction. You identify challenges and opportunities, take ownership, and act decisively</li><li>You’re pragmatic and resourceful. You're deeply technical and think clearly under pressure, but you prioritize progress over perfection. You work within constraints, solve real problems, and make smart trade-offs</li><li>You thrive in a fast-paced team. We work extremely hard to be the fastest in our field, speed and excellence are non-negotiable. You’ll be surrounded by overperformers in every discipline, and we expect the same from you. If you don’t consider yourself among the best in your field, Jua likely isn’t the right fit.</li><li>Our feedback culture is radically transparent and truth-seeking. This can be intense if you’re more used to comfort than candor, but for those who thrive on challenge, it’s an environment where you’ll grow fast and do the best work of your career.</li><li>You obsess over the user. You care as much about the “why” as the “how,” and you want to build tools people truly love to use</li></ul>What’s in it for you<ul><li>Own and ship fast. Work in a product culture where engineers drive decisions, move from idea to production quickly, and see their impact in days, not quarters.</li><li>Join a mission-driven company. Apply cutting-edge ML to global climate and energy challenges, an impact-first alternative to profit-only tech or finance roles.</li><li>Work on groundbreaking technology. Be at the forefront of weather forecasting and machine learning, contributing to innovations that push boundaries.</li><li>Collaborate in a high-agency team. Pair with experienced engineers and researchers in a hybrid environment that balances flexibility with in-person work.</li><li>Shape a meaningful industry. Build solutions for the energy-trading sector, using AI to drive real-world change and influence the future of global markets.</li></ul><div>At Jua, we foster a performance culture and value people who embody our beliefs of service and adventure. We prioritize agility, operating at the highest clock speed to adapt quickly to change. We innovate on behalf of our users and leverage data supremacy to maintain our competitive edge. Through clear communication and fact-based decision-making, we ensure alignment in our pursuit of excellence. With these principles, we aim to create a customer-focused, value-centric organization that sets new standards in the industry. We value the unique perspectives that each individual brings to the table and believe that embracing diverse backgrounds and experiences enriches our collective journey towards growth and success.</div>

Jua.ai - Accuracy beyond expectation. Use beyond belief. The world's first end to end deep learning model for weather forecasting, delivered on an intuitive platform for anyone to customise it. Startups, governments and large companies alike can now develop global, high frequency and high accuracy weather models within days.
Jua&rsquo;s mission is focused on achieving artificial general intelligence (AGI) through a deep exploration of physics, the universe, and their interaction with the human civilisation. We are initially building the world's largest AI weather forecasting model so far and - to our knowledge - the first truly end to end one. This will help energy companies deal with weather volatility by way of significantly better and faster prediction as well as much more flexible extrapolation of insights.

Member of the technical staff (Frontend Engineer)

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Jua

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