Backend Engineer; C++

• Imperial College AI, and Robotics Spinout

• We’re partnering with an early-stage, venture-backed AI and engineering business developing software at the intersection of advanced computing and industrial technology.
• With a small, highly technical team, early commercial traction and ambitious growth plans, the business is building a platform that helps manufacturers make better decisions using complex, real-time data from physical systems.
• This is an opportunity to join at an early stage, take ownership of critical infrastructure and help shape the technical foundations of a product solving challenging problems in the real world.

• As a Backend Engineer, you’ll build and optimise the core systems responsible for ingesting, processing and storing high-volume data.
• You’ll work across performance-critical C++ systems, Python integration and real-time data pipelines, helping deliver reliable software into demanding customer environments.
• Expect complex engineering challenges, significant ownership and the opportunity to influence architecture and technical direction from day one.

• Core systems development: Build high-performance C++ libraries for data processing and storage.
• Python integration: Develop bindings and APIs that make backend capabilities accessible to other engineering teams.
• Real-time data pipelines: Design efficient streaming and communication between services and applications.
• Cross-platform deployment: Maintain robust build systems, packaging and deployment across Windows and Linux.
• Reliability and performance: Improve error handling, logging, monitoring and performance across production systems.

Someone who enjoys solving difficult systems problems and building software that performs reliably outside a development environment.

• 3+ years of commercial C++ development experience, ideally C++17 or later.
• Strong fundamentals in concurrency, multithreading, memory management and performance optimisation.
• Experience building software that handles large datasets or high-throughput data streams.
• A degree in computer science, engineering or a related discipline, or equivalent practical experience.
• A pragmatic, hands‑on approach and the ability to deliver in a fast‑moving environment.
• Existing right to work in the UK.

• Real-time streaming and Web Socket communication.
• Python bindings, including pybind
  11 or similar frameworks.
• Scientific data formats and storage technologies.
• Large-scale structured, spatial or volumetric datasets.
• Signal processing, computer vision or sensor-driven applications.
• Industrial, scientific or other performance-critical software.
• Experience in an early-stage company or a rapidly evolving engineering team.

• Meaningful ownership: Help build the core technology underpinning an emerging AI platform.
• Complex engineering: Work on performance-critical systems where reliability and efficiency genuinely matter.
• Early-stage impact: Join a small team where your decisions can influence architecture, product development and engineering standards.
• Commercial traction: Contribute to a product already being used by paying customers.
• Long-term upside: Competitive compensation, bonus, benefits and meaningful equity.
• An Amberes job posting can reach over 1,000 applicants, and we advertise across dozens of openings at any one time. The team does its absolute best to acknowledge every application in good time and reply with updates. However, because of the volume, we are not always able to reply to everyone, and we apologise if that happens to you. Applications are received and held via Linked In.
  
  We do not store applicant data on our own systems without your consent.