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A Graduate Software Engineer role at Dexory building robotics, AI, and cloud systems for autonomous warehouse robots, involving production code, rotations across engineering teams, and hands-on development in real-world robotics and data-driven systems.
Want to write code that doesn’t just sit on a screen—but powers real robots in real environments? At Dexory, our engineers build the systems behind autonomous robots that navigate warehouses, scan inventory, and generate insights at scale. From robotics and computer vision to machine learning and cloud infrastructure, the problems we solve are complex, fast-moving, and deeply technical.
This is more than a graduate role. It’s a launchpad.
Why this role is different
From your first few weeks, you’ll be shipping production code—software that runs on robots, processes live data, and supports real operations.
Your first year is structured to accelerate your growth:
Start in a core team aligned with your interests
Rotate across teams every 2–3 months
Build both depth and breadth across a modern engineering stack
By the end of the year, you won’t just understand the system—you’ll have helped build it. If you’re excited by complex systems, real-world impact, and rapid growth, this is where your engineering career starts.
Where you could work
You’ll join one of our core teams, with rotations across others:
Autonomy
Build the systems that allow robots to safely navigate busy, real-world warehouse environments.
Think: motion planning, real-time systems, and safety-critical software.
AI / Perception
Turn raw sensor data into meaningful insights using computer vision and machine learning.
Think: ML pipelines, point cloud data, and large-scale perception systems.
Platform
Power everything behind the scenes with scalable infrastructure and developer tooling.
Think: cloud systems, CI/CD, and production reliability at scale.
What you’ll be doing
Ship production code early—whether it’s running on robots, powering pipelines, or supporting infrastructure
Work on systems that interact with the physical world, not just simulations
Progress from well-defined tasks to owning features and leading small projects
Design, build, test, and deploy software to production standards from day one
Collaborate with engineers and cross-functional teams to deliver real-world solutions
Contribute to technical discussions and grow into architectural thinking
What we’re looking for
You don’t need industry experience—but you do need strong fundamentals and curiosity.
You should have:
A degree in Computer Science, Engineering, Robotics, AI/ML, Maths, Physics, or similar
Strong foundations in Python
Experience with Git and Linux
Evidence of building real projects (coursework, personal projects, open source, etc.)
Depending on your interests, it’s great if you have:
Autonomy: C++, robotics, or real-time systems
AI / Perception: PyTorch, TensorFlow, or computer vision
Platform: Docker, CI/CD, or cloud infrastructure
We care more about depth than ticking every box. If you’re strong in one area and motivated to learn, you’ll thrive here.
How you’ll grow
You’ll be supported from day one with structured mentorship and clear progression:
Dedicated mentor: A senior engineer to guide your development
Real feedback: Regular input on your code, decisions, and growth
Access to leadership: Learn from experienced engineers across the business
Your first year:
3 months: Shipping independently, confident in your team’s domain
6 months: Owning features end-to-end, contributing to design discussions
12 months: Operating as a well-rounded engineer across multiple systems
Technologies you’ll work with
Depending on your team and rotations:
Core: Python, Linux, CI/CD
Autonomy: C++, ROS
AI / Perception: PyTorch, TensorFlow
Platform: Docker, Kubernetes, AWS, Golang, TypeScript, React
What you’ll gain
Experience building production systems from day one
Exposure to robotics, AI, and scalable infrastructure
A fast-tracked path to becoming a confident, well-rounded engineer
The chance to work on technology that directly impacts real-world operations
Benefits
Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles:
Performance: High standards, outstanding results,
Impact: Big challenges, bigger results
Commitment: All in, every time
One team: One mission, shared success
Joining our team and company isn't just about expertise; it's about embracing uncertainty with ambition. We're crafting world-changing solutions, fueled by a passion to redefine what's possible. We will look for you to help create and shape the future of logistics solutions through our products, our culture and our shared vision.
You will also receive:
Private healthcare via Bupa with 24/7 medical helpline
Life insurance
Income protection
Pension: 4+% employee with option to opt into salary exchange, 5% employer
Employee Assistance Programme - mental wellbeing, financial and legal advice/support
25 holidays per year
Full meals onsite in Wallingford
Fun team events on and offsite, snacks of all kinds in the office
AAP/EEO Statement
Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Please note: We are unable to provide sponsorship or relocation for this role.
How to apply
Apply directly through the company website. Clicking the link below will open the application page in a new window.
Location: Wallingford, UK
Industry: Digital & Technology
Dexory develops autonomous robots and AI logistics solutions to drive better business decisions. Through our DexoryView platform we automate data collection and build real time fed digital twin technology that unlocks insights across all levels of warehouse operations.
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