Staff Software Test Engineer

About the role

The Software Engineering 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, DevOps, 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. As a Senior/Staff Software Test Engineer, you will define the quality and verification strategy across CoMind's entire software stack from embedded real-time systems to cloud-side data pipelines. You will move beyond task-level execution to architect the infrastructure and 'compliance-as-code' processes that provide the engineering team with high-velocity, high-confidence validation. You will serve as a key technical authority, ensuring our software not only meets stringent IEC 62304 and ISO 14971 standards but does so through sustainable, automated design. You will function as the technical authority for software quality. Your goal is to move CoMind beyond traditional V&V, architecting a self-validating system that integrates safety, regulatory compliance, and high-velocity development. You will be the bridge between Systems Engineering, Regulatory Affairs, and Software Engineering, ensuring that quality is an inherent attribute of our technology rather than a post-development checklist. 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

• Architect a scalable, high-fidelity testing infrastructure that enables continuous validation. Champion 'design for testability' across the entire engineering stack, influencing system architecture to ensure critical safety and performance requirements are verifiable by design.
• Define the end-to-end V&V strategy for the product lifecycle. Quantitatively map software verification evidence directly to system-level safety risks (ISO 14971) to create a 'compliance-as-code' environment that drastically reduces time-to-submission for FDA and other regulatory bodies.
• Drive a 'quality-first' engineering culture by mentorship. Lead training and initiatives on Test-Driven Development (TDD), CI/CD best practices, and automated quality gates, ensuring that the engineering team's velocity is sustained by high-confidence automated processes.
• Lead the development of AI-augmented test strategies. Architect predictive anomaly detection systems and AI-driven test generation engines that evolve alongside our software, turning the test suite into an intelligent system that learns from past regressions.
• Collaborate with engineering leadership to drive continuous improvement in software development and test processes, ensuring that quality practices scale with the organisation.
• AI is fundamental to our culture - it's 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.

Requirements

• Strategic Execution: 7+ years in software test engineering, with a proven track record of architecting testing strategies for complex, regulated systems (embedded, real-time, or SaMD).
• Regulatory & Risk Authority: Deep working knowledge of IEC 62304 and ISO 14971. Proven ability to design 'compliance-as-code' workflows that integrate risk controls directly into the CI/CD pipeline and automate regulatory evidence generation.
• Technical Proficiency: Advanced Python and C/C++; extensive experience building scalable test infrastructure for both embedded hardware and cloud-side data pipelines.
• Cultural Leadership: Demonstrated success in mentoring software engineers and driving a 'quality-first' culture through TDD, static analysis, and automated quality gates.
• Cybersecurity & Documentation: Strong experience in cybersecurity requirements (e.g., IEC 81001-5-1, FDA cybersecurity guidance) and rigorous documentation management for regulatory submission.
• Experience testing real-time Linux or RTOS-based products.
• Background in MLOps, including validation of model drift, dataset governance, and automated performance evaluation.
• Expertise in managing complex build environments (e.g., CMake, Bazel) or cloud-native infrastructure-as-code (Terraform, AWS/GCP).
• Direct experience navigating FDA Q-Sub or MHRA pre-submission processes.
• Experience with hardware-in-the-loop or software-in-the-loop test environments.

Benefits

Additional Information

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.

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