Member of the technical staff (Software Engineer)

About the role

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.

Requirements

• 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.
• 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
• 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.
• Data & 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.
• Cloud & Infrastructure: We use a mix of multi-cloud (GCP, AWS, Cloudflare) and bare metal infrastructure, with tools like Pulumi for infrastructure-as-code.
• ML Frameworks: We leverage popular ML libraries and frameworks to build and deploy models efficiently
• 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.
• Responsibilities and tasks
• 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.
• 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.
• Identify and tackle technical challenges: Address performance bottlenecks, refactor critical systems, and strike the right balance between rapid iteration and long-term stability.
• Prototype and iterate quickly: Move fast, test ideas, and refine approaches with short feedback cycles to drive continuous improvement.
• Need-to-have
• Bachelor's degree (or higher) in Computer Science or a related field.
• 5+ years of experience in a Software Engineering role.
• Strong experience with modern Python in large-scale production systems.
• Ability to make pragmatic, fast-paced decisions while managing technical debt effectively.
• Proactive in identifying problems, performance bottlenecks, and areas for improvement.
• Nice-to-have : Exposure to Data Engineering or related experience.
• At the end of your first 30 days, you will have
• Deployed code to production: Created a pull request, merged it, and deployed iteratively, optimizing for progress rather than perfection.
• 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.
• Worked independently on scoped components: Delivered isolated, limited-scope features, addressed feedback, and deployed quickly with minimal supervision, making confident decisions.
• Engaged with Jua's principles and values: Collaborated across teams and built independent working relationships.
• About you
• 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.
• You take initiative and drive action. You proactively identify challenges and opp

Benefits

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at jua? Share your experience