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About the Role

Orbital is building hardware from the atoms up, starting with critical hardware for AI data centers to make them more performant and sustainable. Our internal AI software platform, Curie, is used by our materials scientists, hardware engineers and manufacturing engineers to design and build our products. As a Backend Engineer, you will design, build and operate the core systems powering Curie, working across the full backend stack.

Responsibilities

Build and operate core backend systems
Design and implement APIs, services and data pipelines that power the Curie platform, with a focus on reliability, performance and clean abstractions
Build and maintain integrations between our AI models, scientific tools and internal workflows
Own the full lifecycle of backend features from design through deployment, monitoring and iteration
Write well-tested, maintainable code and contribute to a culture of high engineering standards through code review, documentation and technical discussion
Improve system observability, reliability and performance — instrument, monitor and optimise the systems you build
Make pragmatic technical decisions that balance speed of delivery with long-term maintainability
Work closely with ML researchers, product engineers and domain experts (materials scientists, hardware engineers) to understand their needs and translate them into robust backend solutions
Contribute to architectural decisions and help shape the technical direction of the platform
Share knowledge, mentor peers and help establish best practices as the team grows

Requirements

Backend engineering experience with strong programming skills
Proven experience designing, building and operating backend systems in production — APIs, data pipelines, event-driven architectures or similar
Strong fundamentals in at least one backend language (e.g. Python, Go, Rust, Java/Kotlin) and comfort working across the stack when needed
Experience with databases (relational and/or graph), message queues, caching layers and cloud infrastructure
A track record of shipping and iterating on software that real users depend on, with a strong sense of what makes systems reliable and maintainable
The ability to reason about system design, data modelling and engineering trade-offs — and to communicate these effectively
An ability to debug complex distributed systems through meticulous attention to detail, structured investigation and carefully chosen instrumentation
A genuine interest in building software that enables breakthrough scientific and industrial applications
Resonates with quotes from Hamming's You and Your Research regarding doing first-class work, building on others' work, and solving characteristic problems.

Skills

APIs
Data pipelines
Graph databases
Event-driven architectures
Python
Go
Rust
Java/Kotlin
Relational databases
Message queues
Caching layers
Cloud infrastructure
System design
Data modelling
Distributed systems
AI/ML environments
Knowledge graphs
Scientific data platforms
Infrastructure-as-code
Containerisation (Docker/Kubernetes)
CI/CD pipelines

Location

Remote

Work Type

Full-time

Experience Level

Backend engineering experience

About the Company

Orbital is an AI-first industrial company building hardware from the atoms up.
Our goal is to lead an industrial renaissance to advance critical technologies and secure our planet for generations to come.
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 means working in tightly integrated, vertically integrated teams.
We’re looking for people who have a love of physical technology, curiosity in AI and a desire to learn.

Equal Opportunity

Orbital is an equal opportunity employer.
We celebrate diversity and are committed to creating an inclusive environment for all employees.