Staff Full Stack Engineer

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, 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 Staff Software Engineer, you will be a technical authority within the Software team, owning complex technical problems in embedded and real-time C++ development. You will work across hardware abstraction, real-time data acquisition, and system integration, bringing the depth of experience needed to architect and deliver software that performs reliably in a regulated, safety-critical context. At CoMind, all team members work at least 4 days per week from our new Kings Cross office, plus a flexible work-from-home day. RESPONSIBILITIES: * Design, implement, and maintain high-performance embedded and real-time software components in C++, including hardware abstraction layers, device drivers, and data acquisition pipelines. * Define and drive technical strategy, proactively identifying and mitigating cross-team dependencies and technical debt while setting the long-term vision for embedded architecture. * Act as a technical bridge, synthesising and communicating complex architectural decisions to non-technical stakeholders (including Product, Clinical, and Regulatory teams) to ensure alignment on project goals. * Mentor and grow engineers, fostering a culture of technical excellence, code quality, and professional development within the broader software team. * Ensure software quality through code review, unit and integration testing, and strict adherence to CoMind’s software development lifecycle under IEC 62304. * Collaborate with electronics and FPGA teams on hardware-software interfaces, supporting hardware bring-up, system integration, and complex debug. * Contribute to risk management and design documentation activities, including software hazard analysis and traceability in line with ISO 14971 and CoMind’s QMS. * Participate in design reviews, sprint planning, and cross-functional technical forums, contributing to a high-performance engineering culture. * 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. SKILLS & EXPERIENCE: * 10+ years of experience in software engineering, with a strong focus on systems-level software architecture * Deep expertise in modern C++ (C++17 or later), including memory management, concurrency, real-time constraints, and performance optimisation * Hands-on experience developing software for embedded Linux environments, including device driver development and hardware abstraction * Experience in a regulated industry (medical devices, aerospace, automotive, or similar) including familiarity with IEC 62304 or equivalent software development standards * Strong understanding of hardware-software integration, including FPGA or microcontroller interfaces, communication buses (SPI, I2C, UART, PCIe), and real-time operating systems * Demonstrated ability to write clean, well-tested, and maintainable code in a safety-critical context NICE TO HAVE * Experience with high-speed data acquisition systems or real-time signal processing pipelines * Familiarity with optical or biomedical hardware integration * Background in or exposure to data science or ML pipelines and the software interfaces that feed them * Experience with CI/CD tooling, automated testing frameworks, and static analysis tools in an embedded context * Knowledge of IEC 60601-1-4 or other medical device software standards * Familiarity with architecture and engineering of cloud-based IoT systems * Experience with health-tech data residency BENEFITS: * Company equity plan so all employees share in the success of the company * Salary-sacrifice pension scheme * Private medical, dental and vision insurance (medical history disregarded) * Group life assurance at 4x annual income * Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals * Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter * Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later * Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks * YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores

ABOUT THE ROLE Scale's Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. As a Staff Applied AI Engineer, you'll raise the bar for how AI gets built, governed, and evaluated across the team. You'll define standards that other engineers adopt, such as evaluation methodologies for agents and MLOps practices, while acting as the senior technical voice for the most sensitive AI decisions our clients face. What you'll do * Define standards for responsible AI, model governance, and production MLOps that get adopted broadly across the Global Public Sector team * Build or validate the highest-risk parts of strategic AI systems and use those systems to establish standards other teams can adopt. * Architect AI systems designed to prevent systemic failure, and lead the resolution of the most severe incidents tied to model safety or data integrity * Build reusable AI capabilities, such as production-ready agent implementations built on proven architectures, fine-tuned models, or evaluation methodologies, that other engineers and clients can build on * Advise on which new AI developments are worth adopting, and help set the technical roadmap for the domain * Act as the senior technical partner to client leadership on AI strategy * Coach Senior Applied AI Engineers, delegate ownership of technical domains, and build systems and practices that enable multiple teams to deliver safer AI * Contribute to recruiting and representing Scale's AI work externally What we look for * 7+ years of engineering experience, with a multi-year track record owning AI/ML systems in production * Experience judging the quality of training data, selecting the right adaptation method for a given model, evaluating fine-tuning results, and balancing serving cost, latency, and quality trade-offs * Experience owning an AI-powered product end to end, including direct involvement in the AI's behaviour rather than implementing ML work scoped by another team * A track record of establishing standards that outlived the projects they were built for, such as an evaluation methodology, an MLOps practice, or an architectural pattern * Comfort operating with executive-level clients and leadership, including defending a technical position under pressure * Deep experience with regulated, sovereign, or on-premise AI deployment, including hallucination mitigation and auditability Where this role sits Your primary accountability covers production AI behaviour, its backend integration, and the evaluation required for a specific customer. Senior Full-Stack Engineers own the complete user-facing application and its infrastructure. ML Research Engineers lead novel agent architecture and the benchmark methodology used across accounts. The roles work together on agents and evaluation, with accountability set by the scope of the problem. The Public Sector context Location, travel, and vetting requirements vary by assignment. Some UK assignments require BPSS screening and may require SC or DV clearance. Requirements depend on the account and each candidate's circumstances. We discuss assignment-specific eligibility early in the hiring process.   PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster [https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf] for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy [https://scale.com/legal/privacy] for additional information.