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Software Engineering Manager

Remote / Online - Candidates ideally in
Greater London, London, Greater London, W1B, England, UK
Listing for: CoMind
Remote/Work from Home position
Listed on 2026-10-09
Job specializations:
  • Software Development
    Software Project Mgr/ Lead, Software Architect, Embedded Software Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 180000 GBP Yearly GBP 120000.00 180000.00 YEAR
Job Description & How to Apply Below

At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world.

The Role:

The Software team at CoMind spans the full stack of a regulated medical device company - from embedded and real-time systems through application software, ML inference, GUI, Dev Ops, and test engineering. It is a team that builds across every layer, working to medical device software standards and shipping software that has to perform reliably in clinical environments.

This is the leadership role for the product software stack. You will manage and develop a team of software engineers working across embedded C++, GUI, and firmware, set priorities and development plans, drive delivery from prototype to production release, and own the software architecture and technical direction. It is a people-first role with sustained hands-on technical involvement: you will lead design and code reviews and hold the bar for engineering quality across the team's output.

At CoMind, all team members work at least 4 days per week in the office, plus a flexible work-from-home day. This role is based in our London (Kings Cross) office.

Responsibilities:
  • Manage and mentor a team of software engineers working across embedded C++/CUDA, GUI, and embedded linux, setting priorities, individual development plans, conducting performance reviews, and maintaining a high standard of engineering practice
  • Own the technical roadmap for the product software stack, from the C++/CUDA host application and real-time processing pipeline, aligning with product and system requirements
  • Lead design and architecture reviews across the software stack, ensuring quality, consistency, and sound technical decisions
  • Drive software from prototype through to production release, managing dependencies with the FPGA, electronics, optical, and clinical teams
  • Ensure software development complies with IEC 62304 (Class

    C), IEC 60601-1, and ISO 14971, maintaining documentation and traceability in line with CoMind's QMS
  • Partner with the Dev Ops, Test & Cloud Engineering Manager on CI/CD, release processes, test strategy, and quality gates
  • Support system integration, hardware bring-up, and on-target performance validation from a software perspective
  • Manage external development partners and contractors where required, ensuring effective execution and resource utilisation
  • AI is fundamental to our culture. It is not just a tool but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively
Skills & Experience:
  • 10+ years of progressive experience in software engineering, with at least 3 years in an engineering management or team lead role
  • Proven experience leading and growing high-performing software teams, with the ability to set direction and develop engineers
  • Hands-on background in embedded and real-time software development, including C/C++ on embedded Linux
  • Strong software architecture and system design experience for resource-constrained or safety-critical hardware
  • Experience developing software for medical devices or another regulated industry
  • Experience defining software architectures and owning technical roadmaps from concept through production
  • Strong cross-functional collaboration skills, with experience working alongside hardware, electronics, and clinical teams
Nice to have:
  • Experience with real-time signal processing, high-speed data acquisition, or physiological data pipelines
  • Familiarity with CUDA or…
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