Senior Software Engineer - Quantum Computing

Summary

Do you have the right skills and experience for this role Read on to find out, and make your application.
A cutting-edge deep-tech company developing advanced computing systems is seeking a Software Engineer to help build and optimise the core software platform that interfaces with highly specialised hardware.
This is an opportunity to work on complex, performance-critical systems at the intersection of software, hardware, and scientific research. The successful candidate will contribute to the development of low-latency control and orchestration software used in production environments, collaborating closely with engineering, hardware, and research teams.
 
Key Responsibilities

• Design, develop, and optimise core systems software using Python, C++, and/or Rust.
• Own critical platform components and drive improvements in performance, reliability, scalability, and operability.
• Develop low-latency interfaces between specialised hardware platforms and classical compute infrastructure.
• Collaborate with hardware and research teams to integrate new technologies from prototype through to production deployment.
• Build and improve CI/CD pipelines, deployment tooling, monitoring, and observability capabilities.
• Profile and optimise system performance, identifying bottlenecks and implementing measurable improvements.
• Contribute to software architecture decisions, technical design reviews, and engineering best practices.
• Improve code quality through testing, code reviews, and maintainable software design.
• Work cross-functionally to translate product and customer requirements into robust software solutions.

 
Requirements

• Strong software engineering fundamentals with experience delivering production systems.
• Excellent Python skills, with experience in C++ and/or Rust being highly desirable.
• Experience in one or more of the following areas:
  • Low-latency systems
  • Linux systems programming
  • High-performance networking
  • Embedded software
  • GPU programming
  • Hardware/software integration
• Familiarity with modern software development practices including Git, testing, code reviews, and CI/CD.
• Experience debugging, profiling, and optimising complex software systems.
• Degree in Computer Science, Physics, Engineering, Mathematics, or a related quantitative discipline (or equivalent experience).
• Experience working within commercial technology organisations, scientific computing environments, or deep-tech companies.

Desirable Experience

• Integration of hardware-adjacent systems within on-premise or data-centre environments.
• Knowledge of data acquisition, digital signal processing, timing synchronisation, telecommunications, or RF systems.
• Experience with observability and monitoring platforms.
• Exposure to scientific instrumentation, advanced computing platforms, or quantum technologies.

 
Benefits & Opportunity

• Work on highly innovative next-generation computing technologies.
• Collaborate with multidisciplinary teams spanning software, hardware, and scientific research.
• Influence the architecture and direction of complex production systems.
• Opportunity to solve challenging engineering problems involving performance, scalability, and hardware integration. xwzovoh
• Hybrid working environment with a strong focus on technical ownership, collaboration, and career development.