Sees.ai Logo

Sees.ai

Senior Robotics Software Engineer - C++

Posted 2 Days Ago
Be an Early Applicant
In-Office
City of London, London, England, GBR
Senior level
In-Office
City of London, London, England, GBR
Senior level
Develop and maintain production C++ software for unmanned systems, including flight and mission control, autonomy, pilot interfaces, connectivity, simulation, and testing. Debug real-world system behavior, improve reliability, support integration and deployment, write documentation and tests, and contribute to platform architecture. The role requires strong modern C++, Linux experience, and understanding of software design and complex systems, with robotics or autonomous-systems exposure preferred.
The summary above was generated by AI
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


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


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.




Similar Jobs

Yesterday
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Leads multiple engineering teams delivering customer-facing cybersecurity products. Sets technical direction and strategy, partners with Product Management, mentors engineering managers and engineers, establishes performance metrics, manages cross-organizational projects, hires engineering talent, and drives continuous improvement while fostering an empathetic, results-oriented engineering culture.
Top Skills: Cybersecurity
Yesterday
Hybrid
London, Greater London, England, GBR
Mid level
Mid level
Cloud • Information Technology • Security • Software • Cybersecurity
Create developer education content through documentation, videos, livestreams, talks, tutorials, and code. Represent developer feedback in product discussions, grow open-source communities, collaborate with ecosystem partners and maintainers, and work cross-functionally with engineering, product, and marketing teams. The role requires hands-on JavaScript or TypeScript coding, strong knowledge of the JavaScript ecosystem, developer community-building experience, and excellent written and verbal communication.
Top Skills: Ai ToolingDiscordJavaScriptLarge Language Models (Llms)Open-Source SoftwareOxcRolldownTwitterTypescriptViteVite+VitestYoutube
Yesterday
Hybrid
London, England, GBR
Expert/Leader
Expert/Leader
Fintech • Mobile • Payments • Software • Financial Services
Lead the architecture and production deployment of deep learning systems for real-time financial crime detection. Design sequence, graph, and attention-based models; establish reusable ML pipelines from experimentation through deployment; evaluate foundation models and embeddings; make architecture decisions under latency and throughput constraints; partner with data science on evaluation and causal measurement; and mentor engineers and scientists.
Top Skills: Batching StrategiesDeep LearningDistributed TrainingFoundation ModelsGraph Neural NetworksMl Pipeline OrchestrationPre-Computed EmbeddingsPythonPyTorchQuantization

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