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Oxbot is seeking a Senior Backend Engineer to join the OTAC‑centric team delivering autonomous vehicle software updates and fleet management. You will design and run backend services in Python, integrate cloud to edge workflows, and work close to the Linux stack on vehicles, while ensuring secure, scalable deployments.
We value strong back‑end expertise, cloud experience (GCP), IaC (Terraform) and CI/CD, plus the ability to mentor others and lead technical initiatives in a hybrid remote
At the company, we're building the future of Industrial Mobile Autonomy (IMA) and are in the market for new talent.the company’s customers are the operators of some of the world's largest industrial facilities. Our technology transforms existing industrial vehicles into intelligent autonomous fleets, unlocking new levels of productivity, safety, and performance.
‘The phone in your hand, the coffee on your desk, the shirt on your back - they all moved through a web of ports (air and sea), distribution yards and manufacturing hubs. This is the invisible circulatory system of global trade, and it relies entirely on a relentless, repetitive shuffle of goods. Towing.
This towing task happens in complex, commerce-critical industrial environments. Here, having self driving technology “do the driving” delivers immediate, measurable impact. IMA will revolutionise the movement of goods across the world's ports, airports, and yards.
You can be part of that as an Oxbot’
‘Paul Newman - Founder and CEO’
Our products are built on four core technology pillars which come together to build a complete system:
the company Ware – Our modular autonomy hardware systems for consistent and repeatable integration of autonomy with existing vehicles.
the company Driver – Our Physical AI, embodied in the company Ware, self-driving software that enables vehicles to perceive, reason, and drive autonomously in complex real-world environments.
the company Foundry – Our development toolchain that leverages generative AI to continuously train and assure the company Driver, synthesising situations and sensor data.
the company Hub – Our suite of cloud services for monitoring, managing and orchestrating fleets driven by the company Driver, including an API for integration with existing logistics systems.
Behind these technologies is our exceptional team, the Oxbots. We are home to some of the world's leading experts in autonomous systems, robotics, machine learning, artificial intelligence, cloud infrastructure, and distributed software engineering. Together, we're solving some of the hardest technical challenges in autonomy, turning the research and development we do into production and deploying it into environments. Making robots do useful work.
You'll join the Over-the-Air and Configuration (OTAC) team, which gets software and configuration efficiently from our cloud onto every vehicle in the fleet. Every release of the company Driver, and every configuration change behind it, reaches a vehicle through systems this team builds and runs.
This is a full-stack role with its centre of gravity in the back end and on Linux. Most of the hard problems here aren't in the UI: they're in making distributed systems talk to each other reliably. Think vehicles on complex networks, reliable updates that must never leave a vehicle half-installed, state that has to stay in sync between cloud and edge, and security that holds up end to end between the company infrastructure and vehicles operating in the field.
We use AI tooling heavily, so the front-end work moves fast. What we need most is an engineer who wants to understand how the whole system works, from the GCP services and APIs down to the Linux stack running on the vehicle.
We care more about how you think than where you started. Good engineering thinking shows up in many fields, and we’re open to people from all of them. An undergraduate degree (BEng/MEng/MSc) is welcome and equivalent professional experience also counts.
Our interview process is designed to give you every chance to get the measure of us, and us of you. You will join three stages which will give you every opportunity to show your strengths and qualities, via scenario based questions and technical exercises.
If you're excited by deep technical problems, real-world AI, and the opportunity to build technology that will reshape global industry, you'll find both the challenge and the impact you're looking for at the company.