sees.ai
Senior Robotics Software Engineer - C++

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Senior Robotics Software Engineer C++
London EC1V - Hybrid
Build software that powers unmanned systems already deployed in the real world.
At sees.ai, we’ve developed a system that is already being used to inspect critical national infrastructure — operating in live environments, not simulations.
Now, following a major contract with National Grid and recent investment, we’re scaling that system into a robust, production-ready platform. We’re looking for a Senior C++ Software Engineer to help take a working system and evolve it into something reliable, scalable, and ready for wider deployment.
The Role
This is a systems-focused engineering role, not a narrow backend position. You’ll work across the core software stack that powers our unmanned systems — contributing to everything from flight control and mission systems, through to simulation, connectivity, and operator interfaces.
You’ll be working on software that directly impacts how the system behaves in the field, with a short feedback loop between development and real-world use. This is an environment where:
- Systems are already deployed and used in live operations
- Issues are visible, tangible, and worth solving
- Improvements can be tested and validated quickly
You’ll balance hands-on development and debugging with longer-term architectural thinking as the platform evolves.
What You’ll Be Doing
- Developing and maintaining features across the unmanned systems software stack
- Working on systems including:
- Flight and mission control
- Autonomy algorithms (e.g. path planning, obstacle avoidance)
- Pilot interfaces with 3D visualisation
- Connectivity between drone and control systems
- Simulation and testing environments
- Debugging and improving system behaviour based on real-world operational feedback
- Supporting testing and deployment alongside integration and operations teams
- Writing tests, documentation, and improving system reliability
- Contributing to architecture and technical direction as we scale
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What You’ll Bring
- Strong experience in modern C++ (production systems)
- Solid understanding of software design, architecture, and debugging complex systems
- Interest in or exposure to robotics / autonomous systems, such as:
- Control systems
- Sensor fusion
- Path planning
- Experience working in Linux environments
- A pragmatic mindset — able to balance speed, reliability, and real-world constraints
Nice to Have
- Python (for tooling, testing, or analysis)
- Experience with simulation environments
- Networking or distributed systems knowledge
- Familiarity with CMake or similar build systems
- Experience with robotics, embedded systems, or real-world autonomous platforms
How You’ll Work
This role suits someone who:
- Enjoys working across the full system, not just one layer
- Wants to see their work used and tested in the real world
- Takes ownership of problems and follows them through to resolution
- Is comfortable with ambiguity and evolving systems
- Thrives in a collaborative, fast-moving team


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Why Join sees.ai
- See your code deployed on operational systems within days
- Work on problems where software meets the physical world
- Be part of a high-performing, innovative, and motivated team scaling a proven system into production
- Contribute to technology with visible impact on the world’s energy security
- sees.ai has a friendly, down-to-earth culture where people enjoy working together and take pride in what they build. Teams collaborate closely across engineering, operations, and commercial roles, sharing ideas openly and supporting each other to solve complex problems. There is real excitement in working on cutting-edge autonomous technology, but it is balanced by a thoughtful, responsible approach.
About sees.ai
We’re building the operating system for large-scale unmanned inspection operations — enabling systems to be controlled remotely and 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.
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