SPAICE
Software Engineering Intern

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About SPAICE
SPAICE is building the geospatial intelligence layer for autonomous vehicles operating where GNSS is unavailable, unreliable, or denied. Our Spatial AI enables drones and satellites to determine their position, understand their surroundings, and transform every detection into actionable, geo-referenced intelligence. From denied airspace on Earth to complex orbital environments, SPAICE delivers resilient navigation and persistent situational awareness in any condition.
At SPAICE, you’ll work on some of the hardest autonomy challenges across air and space, developing technology for GNSS-independent flight, orbital awareness, formation flying, and autonomous operations. You’ll work alongside a mission-driven team and leading aerospace and defence partners, turning advanced research into systems with a tangible impact on real-world missions.
About the Role
In this internship, you'll build the systems that get software onto aircraft, not code that sits on a shelf. As a Software Engineering Intern, you'll join the Infrastructure & Product team to build the build tooling, test harnesses, data pipelines, and internal tools that let a small team ship autonomy software to real missions. Deployment tooling that puts a new build on a flight computer in one command. Test harnesses that catch a navigation regression before it ever reaches an aircraft. Pipelines that turn a field trial's raw flight logs into answers in minutes, not days. These are the challenges you'll help solve.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Expect to write code that gets reviewed, merged, and used by the team. Expect to see the hardware your work runs on. Expect to leave with something real you can point at.
What You’ll Work On
- Build deployment and release tooling for embedded flight computers and edge-AI hardware, covering cross-compilation, containerisation, configuration management, and over-the-air updates.
- Help build the test and evaluation infrastructure behind SPAICE's Spatial AI, replaying recorded flight data to catch navigation regressions before they reach an aircraft.
- Develop data pipelines that ingest logs and sensor recordings from field trials, handling volume and sensor time alignment to make every flight searchable, replayable, and comparable.
- Build the internal tools and product surfaces. Work on the visualisations, dashboards, CLIs, configuration tooling through which engineers and customers inspect and operate the system.
- Collaborate with SPAICE's autonomy and perception engineers and cross-disciplinary teams, delivering well-tested, high-performance code into HIL/SIL setups and real missions.


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What We’re Looking For
- Bachelor's or Master's student, or a recent graduate, in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or a related technical field.
- Solid programming ability in C++ or Python, with experience building and debugging software on Linux.
- Some exposure to the product side of software: web front-ends, APIs, databases, or data pipelines. Having built something other people actually used counts for more than the specific stack.
- Comfortable working in Linux and with Git.
- Interest in autonomy, robotics, aerospace, or space.
Perks & Benefits
- Competitive compensation
- Work on flight-grade autonomy software with industry leaders
- Fast-paced, high-impact environment with genuine ownership
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