<h2>Overview</h2>Physical AI, a real model of the world, is the next trillion dollar opportunity and a foundational pillar for energy, robotics and superintelligence. At Jua we are building it now. Our models already run on four continents and help power the energy buildout needed to support ever larger intelligence. We are assembling a world-class team of researchers and entrepreneurial minds to turn this model into reality at global scale. If you want the opportunity of your life, come build physical AI with us.<h1>What we’re looking for</h1>We’re redefining earth simulation with machine learning, building a system that outperforms traditional models in speed, precision, and accuracy. Our team moves fast, leveraging a versatile tech stack and state-of-the-art cloud infrastructure to maximize performance and efficiency.We believe in using the right tools for the job, combining robust web technologies, advanced ML frameworks, and powerful numerical computing. With a focus on type-safe programming and infrastructure-as-code, we ensure scalability without excess complexity.As a Software Engineer, you’ll help shape our backend systems, pipelines, and cloud infrastructure. You’ll thrive in ambiguity, iterate fast, and turn ideas into working prototypes. If you have a hacker’s mindset, love building from scratch, and excel in lean, high-impact environments, we’d love to hear from you.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. <h1>Our Tech Stack</h1><ul style=""><li>Core Languages: Python is our go-to for backend development, data pipelines, and ML integration. Deep experience with modern Python is a must. We also have a light dusting of rust where performance is critical.</li><li>Data &amp; Geospatial Libraries: We rely heavily on libraries like Xarray, Pandas, and Polars for numerical computing and geospatial data processing. Familiarity with these tools is a big plus.</li><li>Cloud &amp; Infrastructure: We use a mix of multi-cloud (GCP, AWS, Cloudflare) and bare metal infrastructure, with tools like Pulumi for infrastructure-as-code.</li><li>ML Frameworks: We leverage popular ML libraries and frameworks to build and deploy models efficiently</li><li>Other Tools: While Python is our primary language, we believe in using the right tool for the job. You’ll have the freedom to introduce new technologies when they make sense.</li></ul><h1>Responsibilities and tasks</h1><ul style=""><li>Build scalable systems: Design, develop, and deploy backend pipelines, services, and cloud infrastructure with a focus on speed, scalability, and pragmatism. You’ll work across the stack—from backend services to occasional front-end integrations and CI/CD pipelines—in a mixed multi-cloud and bare metal environment.</li><li>Help to shape our architecture and roadmap: Play a key role in defining how we build and scale. As an early senior engineer, you’ll influence technical strategy, optimize system design, and ensure long-term maintainability while moving fast.</li><li>Bring ML models to production: Work closely with ML engineers to deploy models that power real-world decision-making, ensuring performance, reliability, and usability for customers, including power traders.</li><li>Identify and tackle technical challenges: Address performance bottlenecks, refactor critical systems, and strike the right balance between rapid iteration and long-term stability.</li><li>Prototype and iterate quickly: Move fast, test ideas, and refine approaches with short feedback cycles to drive continuous improvement.</li></ul><h1>Need-to-have</h1><ul style=""><li>Bachelor’s degree (or higher) in Computer Science or a related field.</li><li>5+ years of experience in a Software Engineering role.</li><li>Strong experience with modern Python in large-scale production systems.</li><li>Ability to make pragmatic, fast-paced decisions while managing technical debt effectively.</li><li>Proactive in identifying problems, performance bottlenecks, and areas for improvement.</li><li>Nice-to-have: Exposure to Data Engineering or related experience.</li></ul><h1>At the end of your first 30 days, you will have</h1><ul style=""><li>Deployed code to production: Created a pull request, merged it, and deployed iteratively, optimizing for progress rather than perfection.</li><li>Gained deep product immersion: Understood the “what” and “why” of the product, contributed to discussions, formed opinions and comfortably expressed them, and actively participated in team retros.</li><li>Worked independently on scoped components: Delivered isolated, limited-scope features, addressed feedback, and deployed quickly with minimal supervision, making confident decisions.</li><li>Engaged with Jua’s principles and values: Collaborated across teams and built independent working relationships.</li></ul><h1>About you</h1><ul style=""><li>You work in alignment with our operating principles. These principles guide how we make decisions, collaborate, and build at Jua. You embody them in your work, continuously evolving as we evolve, and integrating them into everything you do.</li><li>You take initiative and drive action. You proactively identify challenges and opportunities, taking ownership without waiting for direction. You thrive in an environment where autonomy and action lead to impactful results. Rather than waiting for permission, you step forward, solve problems, and drive meaningful change.</li><li>You are adaptable and resourceful. You’re comfortable navigating ambiguity, making data-informed decisions, and iterating as you go. Limited resources don’t slow you down—they inspire creative problem-solving. Whether working with evolving technologies or shifting priorities, you find a way forward and deliver exceptional outcomes.</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></ul><h1>What’s in it for you</h1><ul style=""><li>Work on groundbreaking technology: Be at the forefront of weather forecasting and machine learning, contributing to innovations that push the boundaries of what’s possible.</li><li>Collaborative, remote-first culture: Join a dynamic, supportive team where your ideas matter, and work remotely with flexibility that fits your lifestyle.</li><li>Shape the future: Play a pivotal role in growing and evolving the backend of a product that’s rapidly advancing in a fast-paced environment.</li><li>Impactful industry: Work in the energy trading sector, using AI to drive real-world change and help shape the future of energy markets.</li></ul>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.

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 (Software Engineer)

<h2>Overview</h2>Physical AI, a real model of the world, is the next trillion dollar opportunity and a foundational pillar for energy, robotics and superintelligence. At Jua we are building it now. Our models already run on four continents and help power the energy buildout needed to support ever larger intelligence. We are assembling a world-class team of researchers and entrepreneurial minds to turn this model into reality at global scale. If you want the opportunity of your life, come build physical AI with us.<h1>What we’re looking for</h1>We’re redefining earth simulation with machine learning, building a system that outperforms traditional models in speed, precision, and accuracy. Our team moves fast, leveraging a versatile tech stack and state-of-the-art cloud infrastructure to maximize performance and efficiency.We believe in using the right tools for the job, combining robust web technologies, advanced ML frameworks, and powerful numerical computing. With a focus on type-safe programming and infrastructure-as-code, we ensure scalability without excess complexity.As a Software Engineer, you’ll help shape our backend systems, pipelines, and cloud infrastructure. You’ll thrive in ambiguity, iterate fast, and turn ideas into working prototypes. If you have a hacker’s mindset, love building from scratch, and excel in lean, high-impact environments, we’d love to hear from you.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. <h1>Our Tech Stack</h1><ul><li>Core Languages: Python is our go-to for backend development, data pipelines, and ML integration. Deep experience with modern Python is a must. We also have a light dusting of rust where performance is critical.</li><li>Data &amp; Geospatial Libraries: We rely heavily on libraries like Xarray, Pandas, and Polars for numerical computing and geospatial data processing. Familiarity with these tools is a big plus.</li><li>Cloud &amp; Infrastructure: We use a mix of multi-cloud (GCP, AWS, Cloudflare) and bare metal infrastructure, with tools like Pulumi for infrastructure-as-code.</li><li>ML Frameworks: We leverage popular ML libraries and frameworks to build and deploy models efficiently</li><li>Other Tools: While Python is our primary language, we believe in using the right tool for the job. You’ll have the freedom to introduce new technologies when they make sense.</li></ul><h1>Responsibilities and tasks</h1><ul><li>Build scalable systems: Design, develop, and deploy backend pipelines, services, and cloud infrastructure with a focus on speed, scalability, and pragmatism. You’ll work across the stack—from backend services to occasional front-end integrations and CI/CD pipelines—in a mixed multi-cloud and bare metal environment.</li><li>Help to shape our architecture and roadmap: Play a key role in defining how we build and scale. As an early senior engineer, you’ll influence technical strategy, optimize system design, and ensure long-term maintainability while moving fast.</li><li>Bring ML models to production: Work closely with ML engineers to deploy models that power real-world decision-making, ensuring performance, reliability, and usability for customers, including power traders.</li><li>Identify and tackle technical challenges: Address performance bottlenecks, refactor critical systems, and strike the right balance between rapid iteration and long-term stability.</li><li>Prototype and iterate quickly: Move fast, test ideas, and refine approaches with short feedback cycles to drive continuous improvement.</li></ul><h1>Need-to-have</h1><ul><li>Bachelor’s degree (or higher) in Computer Science or a related field.</li><li>5+ years of experience in a Software Engineering role.</li><li>Strong experience with modern Python in large-scale production systems.</li><li>Ability to make pragmatic, fast-paced decisions while managing technical debt effectively.</li><li>Proactive in identifying problems, performance bottlenecks, and areas for improvement.</li><li>Nice-to-have: Exposure to Data Engineering or related experience.</li></ul><h1>At the end of your first 30 days, you will have</h1><ul><li>Deployed code to production: Created a pull request, merged it, and deployed iteratively, optimizing for progress rather than perfection.</li><li>Gained deep product immersion: Understood the “what” and “why” of the product, contributed to discussions, formed opinions and comfortably expressed them, and actively participated in team retros.</li><li>Worked independently on scoped components: Delivered isolated, limited-scope features, addressed feedback, and deployed quickly with minimal supervision, making confident decisions.</li><li>Engaged with Jua’s principles and values: Collaborated across teams and built independent working relationships.</li></ul><h1>About you</h1><ul><li>You work in alignment with our operating principles. These principles guide how we make decisions, collaborate, and build at Jua. You embody them in your work, continuously evolving as we evolve, and integrating them into everything you do.</li><li>You take initiative and drive action. You proactively identify challenges and opportunities, taking ownership without waiting for direction. You thrive in an environment where autonomy and action lead to impactful results. Rather than waiting for permission, you step forward, solve problems, and drive meaningful change.</li><li>You are adaptable and resourceful. You’re comfortable navigating ambiguity, making data-informed decisions, and iterating as you go. Limited resources don’t slow you down—they inspire creative problem-solving. Whether working with evolving technologies or shifting priorities, you find a way forward and deliver exceptional outcomes.</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></ul><h1>What’s in it for you</h1><ul><li>Work on groundbreaking technology: Be at the forefront of weather forecasting and machine learning, contributing to innovations that push the boundaries of what’s possible.</li><li>Collaborative, remote-first culture: Join a dynamic, supportive team where your ideas matter, and work remotely with flexibility that fits your lifestyle.</li><li>Shape the future: Play a pivotal role in growing and evolving the backend of a product that’s rapidly advancing in a fast-paced environment.</li><li>Impactful industry: Work in the energy trading sector, using AI to drive real-world change and help shape the future of energy markets.</li></ul>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.

Member of the technical staff (Software Engineer)

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Jua

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