Principal Robotics / C++ Software Engineer London (Hybrid) Define how a complex, real‑world system scales — technically and organisationally. At sees.ai, we’ve built a system that enables unmanned aerial systems to carry out inspections of critical national infrastructure, making these missions repeatable, scalable, and commercially viable for asset owners. This is not a prototype or a simulation. It’s a complex, integrated system already deployed and working in the field, solving real operational problems. Now, following a major contract with National Grid and recent investment, we’re entering the next phase: scaling that system into a robust, production platform and building the engineering organisation around it. We’re looking for a Principal Robotics / C++ Software Engineer to lead that transition. The Role This role goes beyond a typical senior engineering position. You’ll be responsible for shaping the long‑term technical direction of the entire software stack, while staying close enough to the system to ensure decisions hold up in the real world. You’ll work across:

Flight and mission systems Operator interfaces and 3D environments Connectivity and distributed systems Simulation, testing, and data pipelines

Your primary impact will be in:

Defining architecture and technical strategy Driving engineering standards and system evolution Ensuring the platform scales in a way that supports repeatable, reliable operations Enabling the team to grow and deliver effectively as complexity increases

This is a role for someone who wants to take responsibility for how systems move from working solution to scalable, production platform. What You’ll Be Doing

Driving the technical vision and architecture of the full software stack Making key design decisions as the system scales from deployed solution to production platform Contributing hands‑on where needed, particularly in complex or high‑impact areas Leading technical discussions and setting engineering standards Mentoring engineers and helping grow a high‑performing team Working closely with integration, operations, and product to align technical direction with real‑world needs Shaping development processes, tooling, testing, and system reliability Playing a central role in team expansion and capability building

What You’ll Bring

Deep experience in modern C++ in production systems Proven track record of designing and scaling complex, real‑world software systems Strong architectural thinking across large, interconnected systems Ability to balance technical depth with pragmatic decision‑making Experience influencing and guiding engineering teams Confidence operating in environments where systems are evolving and priorities shift

Nice to Have

Experience in robotics, control systems, or real‑world system integration Strong Linux and Python experience Experience deploying machine learning models Experience with distributed systems, networking, or system connectivity Experience building and scaling developer tooling, testing frameworks, or CI/CD systems Experience mentoring or leading teams through growth

How You’ll Work

Thinks in systems, not components Enjoys solving problems that exist in real‑world operational environments Wants to shape both technology and the team building it Is comfortable making decisions without perfect information Balances long‑term vision with immediate delivery needs

Why Join sees.ai

Work on a system that is already deployed and operating in the field Shape how that system evolves into a scalable, production platform Play a central role in building a high‑performing engineering team See the real‑world impact of your decisions quickly Work on problems where software meets the physical world

About sees.ai We’re building the operating system for large‑scale unmanned inspection operations, enabling systems to be deployed reliably in real‑world environments. Our technology is transforming how critical infrastructure is inspected — making it safer, more efficient, and scalable. You’ll join at a pivotal stage, where a working system is being scaled into a robust platform, and where your work will directly shape how that happens. #J-18808-Ljbffr