Sr. Software Engineer - Signals & Algorithm Interfaces; Python/C++
Listed on 2026-05-19
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Software Development
Software Engineer
Application Window
We anticipate the application window for this opening will close on 18 May 2026.
Company OverviewAt Medtronic you can begin a life‑long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.
A Day in the LifeAt Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In‑person exchanges are invaluable to our work. We’re working a minimum of 4 days a week onsite as part of our commitment to fostering a culture of professional growth and cross‑functional collaboration as we work together to engineer the extraordinary.
As a Sr. Software Engineer – Signals & Algorithm Interfaces (Python/C++) you will own the production interfaces between the Affera Signals & Algorithms team's work and the rest of the Prism Mapping system. A typical week mixes collaborating with algorithm developers to bring a new algorithm into production, optimizing it for the latency, memory, and determinism the live system demands, designing the data paths that feed it in real time, and partnering with visualization and UI engineers to ensure algorithm outputs are displayed accurately on the map and in the application.
You'll write algorithm code yourself when the work calls for it. You'll make architectural decisions about buffering, threading, and data contracts; mentor newer engineers on signal‑domain debugging; and set the standard for how we ship algorithm‑adjacent code in a regulated environment.
The Affera Prism Mapping System is an advanced electrophysiology mapping platform used by physicians to diagnose and guide the treatment of cardiac arrhythmias. It captures and processes signals from inside the beating heart, builds detailed real‑time three‑dimensional maps of cardiac anatomy and electrical activity, and presents that information to clinicians and mapping specialists during live procedures. Engineers on this team build the software that makes that possible — from the runtime and data pipelines that move signals in milliseconds, to the algorithms that turn raw signals into clinically meaningful information, to the visualization and UI surfaces clinicians rely on in the lab.
PrimaryResponsibilities
- Own the production interfaces between the Affera Signals & Algorithms team's work and the rest of the Prism Mapping system.
- Collaborate with algorithm developers to bring new algorithms into production, optimizing for production‑level latency, memory, and determinism.
- Partner with visualization and UI engineers to ensure algorithm outputs are displayed accurately on the map and in the application.
- Own features, components, or subsystems end‑to‑end.
- Determine the technical approach for complex component‑ and subsystem‑level problems with limited supervision.
- Lead development across design, implementation, integration, and support for assigned areas.
- Contribute to software architecture, design improvements, engineering practices, and development processes.
- Provide technical leadership through code reviews, mentoring, and guidance.
- Collaborate effectively across software, systems, hardware, and quality in a regulated environment.
- Communicate technical issues, tradeoffs, and recommendations clearly to team members and stakeholders.
- Bachelor’s degree and a minimum of 4 years of relevant experience.
- OR Master’s degree with a minimum of 2 years of relevant experience.
- OR PhD with 0 years relevant experience.
- Strong experience with real‑time or near‑real‑time signal/data pipelines.
- Working knowledge of DSP fundamentals as applied to biomedical, sensor, or telemetry signals.
- Experience product ionizing research or prototype code into reliable, testable production systems.
- Strong Python and/or C++ expertise, with a track record of delivering production software.
- Experience building large, complex software applications or subsystems.
- Experience with Linux, networking, and multi‑device or distributed systems.
- Experience with Docker, CI/CD, and…
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