---
title: 'Software Engineering Intern at SPAICE'
canonical: 'https://feeny.ai/job/software-engineering-intern-spaice-london-w56nedk0c01m'
type: 'job'
last_seen: '2026-10-18'
---

# Software Engineering Intern at SPAICE

- **Company:** SPAICE
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-14
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/spaice-tech/16468d27-11e9-498c-87b6-3469f5f4ee12

## Job description

## 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. 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.

## 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

## About SPAICE

## Company Overview
- **One-liner**: SPAICE builds a spatial-AI autonomy operating system that turns aircraft, drones, and satellites into fully autonomous Spatial Agents capable of navigating and operating in GPS-denied and harsh environments.
- **Entity Type**: Private (Privately Held; early-stage with non-equity assistance funding)
- **Headquarters**: London, United Kingdom (with presence in Spain and an office in Rome, Italy)
- **Founded**: 2023
- **Founders**: Matteo Cuccorese (Co-founder & CEO), Guillem Garrofé (Co-founder & CTO)

## Core Business
- Primary industry: Space Research and Technology / Defense & Autonomous Systems
- Target customers: Government/Defense agencies, aerospace prime contractors, and space mission operators (B2B/Enterprise)
- Mission statement: "Harness the power of machine intelligence to secure our nations and push the frontiers of space exploration"

## Products & Services
- **[SPAICE-OS](https://spaice.tech/)**: The autonomy operating system for aircraft and satellites — a spatial-AI software stack that provides real-time onboard perception, planning, and control for multi-domain autonomous missions.
- **Perception Stack**: Multi-sensor fusion (cameras, LiDAR, radar, event sensors) for situational awareness, terrain mapping, target detection/classification/tracking, and self-localization in GPS-denied environments.
- **Planning & Control Modules**: Algorithms for computing optimal trajectories and executing collision-free maneuvers in real time, onboard resource-constrained hardware.
- **ISR & C2 Solutions**: Intelligence, Surveillance & Reconnaissance capabilities and Command & Control distributed intelligence for defense applications.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (early-stage, privately held)
- **Total Funding**: Non-equity assistance rounds in 2023 (1 investor) and 2024 (2 investors) — specific amounts not disclosed
- **Key Metric**: 8 employees (+100% YoY headcount growth), with 3 active job postings
- **Notable Investors/Partners**: Non-equity assistance from UK Space Agency (references to summer interns via UKSA), working alongside "leading aerospace and defense contractors"
- **Growth Signals**: Traffic growth of +1,136.1% year-over-year; team moved into first office; hiring spree underway; commitment to a #ZeroDebris future announced

## Competitive Advantages
- **GNSS-Independence**: Full autonomy in GPS-denied environments — a critical capability for both defense and space missions where satellite navigation is unavailable or jammed.
- **Multi-Domain Platform**: Single software stack that spans space (satellites), air (drones), and potentially ground vehicles — broader than competitors focused on one domain.
- **Edge-AI on Resource-Constrained Hardware**: Perception and control pipelines optimized to run in real time on flight processors and edge-AI chips (CUDA, TensorRT), not just cloud infrastructure.
- **Talent Density**: Small, world-class team with alumni from Imperial College London, Airbus Defence and Space, and top-tier institutions — high signal-to-noise ratio in engineering.

## Strategic Focus
- Scaling the engineering team (active hiring for Computer Vision, Multimodal Sensing, and Simulation roles)
- Deepening multimodal sensor fusion capabilities for increasingly complex mission profiles
- Expanding from space into adjacent defense and dual-use autonomous systems
- Building towards satellite life extension, in-orbit servicing, and space debris removal use cases

## Why Work Here
- **Mission-Driven Impact**: Work on real, deployed missions where code flies on satellites and drones — tangible outcomes in space and defense.
- **Small, High-Caliber Team**: Join at the "ground floor" (founded 2023, 8 people) with equity options and direct impact on product direction.
- **Work Policy**: Mix of in-office and hybrid options available per role (London HQ with additional presence in Spain and Italy).
- **Perks**: Competitive salary, equity options, access to premium gyms and wellness programs, team retreats and offsites (recent examples include a half-marathon in Formentera and a Los Angeles retreat during Oscars weekend).
- **Tech Stack**: Python, C++, Linux, CUDA, TensorRT, Unreal Engine, Docker, NVIDIA stack — modern, performance-critical engineering environment.

## Sources
1. [spaice.tech](https://spaice.tech/)
2. [LinkedIn - spaicetech](https://uk.linkedin.com/company/spaicetech)
3. [Built In - SPAICE](https://builtin.com/company/spaice)
4. [Built In - Computer Vision Engineer](https://builtin.com/job/computer-vision-engineer/9221229)
5. [Ashby - Senior Research Engineer](https://jobs.ashbyhq.com/spaice-tech/b6bd2fb3-e3a2-4a07-89ca-b77d2cc95c2e)

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