Senior Software Engineer – Signals & Algorithm Interfaces, Python​/C++

Responsibilities

• 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 automated testing
• Strong debugging and problem-solving skills, including the ability to work effectively with ambiguity and incomplete information
• Experience contributing to architecture, design standards, or technical direction within a team or subsystem
• Experience collaborating across cross-functional teams in a regulated or quality-driven environment
• Sets standards and best practices for effective use of AI development tools on the team.