SPAICE Logo

SPAICE

Forward Deployed Engineer

Reposted One Month Ago
Be an Early Applicant
In-Office
London, Greater London, England, GBR
Mid level
In-Office
London, Greater London, England, GBR
Mid level
Own customer projects to integrate, deploy, and validate SPAICE spatial AI on drones, satellites, and robotic platforms. Tasks include software and systems engineering, Linux and embedded configuration, networking and hardware integration, field testing, debugging across software/hardware, and direct collaboration with defence and aerospace customers.
The summary above was generated by AI
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

Autonomous drones operating in GPS-denied environments. Perception and navigation systems integrated into defence platforms. Spatial AI software deployed and validated during live field trials. Turning these capabilities into reliable operational systems requires more than strong technology. It requires engineers who can bridge the gap between our products, our customers, and the realities of deployment.

As a Forward Deployed Engineer, you’ll work in small, highly technical teams and take ownership of high-stakes customer projects from initial requirements through integration, deployment, testing, and operational delivery.

You’ll act as the technical bridge between SPAICE’s Spatial AI and autonomy technology and our customers’ real-world platforms and operating environments. Your work will span software engineering, system configuration, robotics integration, networking, hardware interfaces, field testing, and customer collaboration.

This is a hands-on role for someone who can move comfortably between writing production code, debugging systems in the field, designing integration architectures, and communicating directly with defence, aerospace, and government stakeholders.

 
What you might work on
  • Space & defence missions. Deploy and operationalise SPAICE technology with defence organisations, aerospace companies, government customers, and platform manufacturers, from customer integration facilities to live operational environments.

  • End-to-end system integration. Integrate SPAICE’s perception, navigation, and autonomy software with drones, satellites, robotic platforms, flight computers, sensors, autopilots, communication systems, and customer-built infrastructure.

  • Software and systems engineering. Develop production-quality software, configure Linux-based systems, build deployment tooling, and troubleshoot issues across applications, operating systems, networks, and hardware interfaces.

  • Customer platform integration. Bridge customer-built systems and SPAICE’s products through APIs, middleware, communication protocols, data pipelines, and custom software components.

  • Deployment and field testing. Configure and validate systems on embedded computers and edge AI hardware, support flight and field trials, analyse system behaviour, and resolve technical problems under real operational constraints.

     
What we are looking for
  • M.S. in Computer Science, Computer Engineering, Robotics, Aerospace Engineering, Electrical Engineering, or a related technical field.

  • Strong C++ and Python skills.

  • Experience integrating and deploying complex software systems.

  • Broad knowledge of Linux, networking, embedded systems, robotics, or hardware integration.

  • Ability to debug across software, operating systems, sensors, networks, and hardware.

  • Experience with simulation, hardware-in-the-loop testing, or field trials.

  • Strong problem-solving skills in ambiguous, fast-moving environments.

  • Excellent communication and customer-facing skills.

  • Willingness to travel to customer and test sites.

Perks & Benefits
  • Competitive salary commensurate with experience and impact.

  • Equity options – you will join us at the ground floor and share in the upside.

  • Well‑being perks – access to premium gyms, climbing centers, and wellness programs.

  • Team retreats & offsites – recent adventures include a half‑marathon in Formentera and a Los Angeles retreat during Oscars weekend.

Similar Jobs

4 Days Ago
In-Office or Remote
London, Greater London, England, GBR
Expert/Leader
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the design, development, deployment, and continuous improvement of AI/ML solutions for enterprise customers. Build integrations using Python or JavaScript, APIs, microservices, and enterprise systems; analyze data; automate workflows; address AI risk, privacy, and compliance; and align technical solutions with business goals. Mentor engineers and communicate effectively with technical and non-technical stakeholders in complex, ambiguous environments.
Top Skills: Agent-Based FrameworksAPIsArtificial IntelligenceAtlassian IntelligenceGdprGenerative AiJavaScriptLarge Language ModelsMachine LearningMicroservicesPythonRovo Ai
7 Days Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Artificial Intelligence • Productivity • Software
Leads and develops a team of Forward Deployed Engineers delivering complex enterprise implementations across EMEA. Oversees technical discovery, architecture, custom code, AI agents, integrations, automations, data pipelines, migrations, launches, and customer handoffs. Advises senior customer stakeholders, manages delivery risks and staffing, partners with Sales, Product, CX, and Engineering, and establishes scalable delivery standards, hiring practices, quality processes, and reusable technical assets.
Top Skills: Agent ApisAPIsAuthenticationData PipelinesEltETLJavaJavaScriptLlm ApplicationsMcpNode.jsNotion Automation InfrastructurePythonRag SystemsSQL
9 Days Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Artificial Intelligence • Productivity • Sales • Software
Own AI transformation engagements for 1–2 strategic customers, partnering with executives and technical teams to architect, build, deploy, and measure production AI solutions. Develop monday AI agents, vibe apps, MCP integrations, workflows, and custom scripts. Define business outcomes, run evaluations, provide product feedback, and turn customer-specific solutions into reusable assets and product requirements while collaborating with Sales, Customer Success, and Product.
Top Skills: Ai/Llm SystemsMcpMonday Ai AgentsNode.jsReactTypescript

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account