Senior/Staff Software Engineer, Platform

📋 Job Overview

Orbital Industries is an AI Industrial company, with frontier AI embedded at every step in the production of critical physical products - from creating advanced materials to engineering and manufacturing. Every Orbital Industries product is developed using CurieOS, our AI operating system, uniting AI-automated hardware engineering with AI-designed material science to achieve breakthrough real-world performance. We also offer CurieOS to our customers and partners, extending the same platform and workflows that power Orbital Industries to their own teams and products. We have an ambitious mission and need excellent people in all our teams - AI research, operations, advanced materials, mechanical engineering, chemical engineering and manufacturing. Working at Orbital Industries means working in vertically integrated teams across the full stack, from molecules to manufacturing. We're looking for people who have a love of physical technology, curiosity in AI and a desire to learn.

🏢 About Orbital Industries

Orbital Industries is an AI Industrial company, with frontier AI embedded at every step in the production of critical physical products - from creating advanced materials to engineering and manufacturing. Every Orbital Industries product is developed using CurieOS, our AI operating system, uniting AI-automated hardware engineering with AI-designed material science to achieve breakthrough real-world performance. We also offer CurieOS to our customers and partners, extending the same platform and workflows that power Orbital Industries to their own teams and products.

🎯 The Role

Physical engineering is one of the hardest domains for AI. Designs have to meet standards, calculations must be deterministic and checkable, and a wrong number can end up in a power system or a data centre. CurieOS is built to let agents do real engineering work and to show exactly how every output was produced. The platform team builds the foundation that every workflow, agent and product on CurieOS depends on, and runs it in production for people who need to trust it. Your work sets the floor for how reliable our AI is, and the ceiling for what it can do. This is a small team, and you'll shape what we build as well as how. You'll see the results of those decisions in production within days. If you want a narrow, well-defined slice of a large system, this isn't the role. If you want to own a platform while it scales, it is.

✅ Key Responsibilities

• Build the foundation that every workflow, agent and product on CurieOS depends on, and run it in production for people who need to trust it.
• Shape what we build as well as how, seeing the results of those decisions in production within days.
• Own a platform while it scales, setting technical direction across areas like traceable results, agent runtime and context, and durable workflows.
• Work across parts of CurieOS that customers have to be able to trust, including tenancy, isolation and identity, release and production, agent quality in production, observability and cost, and infrastructure and deployment.
• Help shape how we hire and grow engineers.

📌 Required Qualifications

• Designed and built backend services that other teams or customers relied on, and made the key decisions yourself.
• Owned a system in production after it shipped: the cloud infrastructure it ran on, on-call, incidents, how changes went out, and the monitoring that told you it was healthy.
• Built and run something where LLMs do real work for real users, and dealt with the cost, latency and quality trade-offs that come with it.
• Used coding agents heavily in your own work, with opinions on where they help and where they break.
• Led a project end to end, made trade-offs you can explain, and raised the bar for the engineers around you.

⭐ Desirable Experience

• Shipped software in a high-performance computing or AI context.
• Experience with Kubernetes, AWS, or specialist GPU clouds.
• Experience with Python, Go, Kotlin, or Java.

🎁 Benefits

Competitive

🛂 Visa & Eligibility

Not specified