Jobs at Medtronic

Leads complex, cross-functional digital and electro-mechanical medical device projects from requirements through commercialization and lifecycle management. Responsibilities include planning, risk and issue management, stakeholder coordination, project monitoring, requirements management, and problem resolution. The role partners with developers, designers, product owners, and business leaders to deliver regulated, safety-critical surgical technologies using Agile, Scrum, and waterfall methodologies.

Design, implement, benchmark, and optimize machine learning and computer vision models for low-latency edge and cloud deployment. Develop real-time surgical video processing pipelines, improve network architectures, write high-quality production code, and collaborate with machine learning, platform, embedded software, and research teams. The role also involves researching state-of-the-art optimization methods and communicating results across technical and business stakeholders.

Lead backend and systems engineering from design through production for connected, embedded, edge-computing healthcare products. Design distributed systems, write primarily Python, improve testability and reliability, mentor engineers, collaborate cross-functionally, and produce clear technical documentation.

Lead the multi-year product strategy and lifecycle for Touch Surgery Aide, Medtronic’s edge-compute platform for surgical digital applications. Define shared platform capabilities across connectivity, video, data, deployment, diagnostics, telemetry, and fleet operations. Conduct customer discovery, prioritize investments, manage trade-offs involving safety and reliability, and align engineering, clinical, commercial, service, and implementation teams in a regulated environment.

Designs and maintains automated test frameworks for embedded and connected hardware platforms used in operating rooms. Tests device software, firmware integrations, APIs, connectivity, operating systems, OTA updates, and hardware-software interactions. Develops test plans, CI/CD quality gates, documentation, and system validation strategies while collaborating with software, hardware, firmware, and systems engineers. Requires frequent onsite work at the London office, three to four days weekly.

Leads portfolio governance, performance assessment, prioritization, investment recommendations, business cases, and offer development for Medtronic’s enterprise healthcare solutions portfolio. Partners with commercial, marketing, finance, digital, clinical, and market teams to translate customer, market, and competitive insights into strategic actions. Serves as a business stakeholder for the Market and Customer Intelligence platform, defining use cases, requirements, and outcomes while supporting platform adoption and effectiveness.

Designs, builds, and maintains AWS and on-premises infrastructure for machine learning engineers, data scientists, and software teams. Responsibilities include operating Kubernetes and MLOps platforms, responding to service requests, troubleshooting production issues, implementing infrastructure as code, improving reliability and developer experience, and supporting secure, scalable product delivery. The role requires cross-team collaboration, clear technical communication, and commuting to London two days per week.

Develop high-performance, low-latency real-time video and AI processing pipelines for medical devices used in operating rooms. Responsibilities include hardware-accelerated video capture, processing, inference, visualization, streaming, parallel processing, software design, optimization, debugging, code reviews, and collaboration with multidisciplinary teams to deliver safe, reliable embedded systems.

Develop and maintain a Python-based SaaS platform for project, data, and annotation management. Collaborate with data and platform engineers to build efficient data-handling processes and work with stakeholders to define and validate software features. The role supports machine learning and data science teams developing connected surgical technology, using production software engineering, cloud infrastructure, DevOps practices, and iterative development methods.