Senior Engineer - Algorithms and Signal Processing

At ZOLL, we're passionate about improving patient outcomes and helping save lives. We provide innovative technologies that make a meaningful difference in people's lives. Our medical devices, software and related services are used worldwide to diagnose and treat patients suffering from serious cardiopulmonary and respiratory conditions.
The Acute Care Technology division of ZOLL Medical Corporation develops and delivers innovative lifesaving products and software solutions to EMS, hospital, public safety, and military customers globally. Products include AEDs, trauma kits, ventilators, temperature management solutions, and more. Our dedicated employees take pride in their commitment to improving patient outcomes while delivering world-class customer service.
At ZOLL, you won’t just have a job. You'll have a career—and a purpose.
Join our team. It’s a great time to be a part of ZOLL!
 

Job Summary:
As a senior engineer on our advanced development team, the successful candidate will contribute to the development of advanced signal processing algorithms and solutions that advance acute critical care diagnostics and therapy.

This individual is a collaborative engineering researcher with knowledge of classical as well as the most advanced signal processing approaches to process and interpret time-domain physiological signals.

This individual is highly creative and innovative in identifying solutions to complex clinical challenges.

This individual is also responsible for coordinating and performing work within the advanced development team and with cross-functional team members in scientific and clinical affairs, product development, regulatory, quality, and manufacturing.

Essential Functions:
• Contribute to, and in some cases lead, the identification and development of advanced signal processing-based algorithms that address complex acute care clinical challenges
• Apply state-of-the art signal processing, machine learning, and/or AI concepts to develop both application-level and embedded-system algorithms that analyze signals to enable therapy delivery and support healthcare providers in decision making
• Translate customer and system requirements into preliminary software/algorithm requirements
• Advance existing algorithms that utilize the ECG and other physiologic signals
• Develop and review software verification test plans for algorithms; perform testing on algorithms
• Identify technical challenges and risks; recommend and implement solutions
• Develop technical documentation and transition algorithms to product development for successful final product algorithm integration
• Remain current in physiologic signal processing and monitoring trends as well as technologies through activities such as self-study, webinars, seminars, and conferences
• Follow standard operating procedures and software engineering best practices including documentation of algorithm software designs and source code
• Collaborate with team members and contribute to a positive team environment that creates high quality solutions

Skill Requirements:
• In-depth technical knowledge and experience in physiologic signal processing
• Working knowledge of signal processing and machine learning software tools
• Knowledge and experience in C, C++, and a prototyping language such as Python or MATLAB
• Knowledge and experience in translating prototype algorithms into embedded system and/or real-time operating systems (RTOS) software
• Demonstrated innovativeness through solutions in algorithm creation, signal processing, software code development, and/or related biomedical engineering problems
• Excellent written, verbal, and interpersonal skills
• Strengths in collaboration, initiative, and innovation
• Strong critical thinking with effective problem-solving skills in solving new, unique, and deep technical challenges
• Ability to foresee challenges and provide alternative solutions and make strong recommendations with engineering-based rationales
• Holds self accountable for delivering on commitments
Education and Experience:
• MS degree in biomedical engineering, electrical engineering, or related field with emphasis in biomedical signal processing; PhD degree preferred
• 5+ years of experience in signal processing algorithm development; experience may include graduate degree research
• Experience developing embedded algorithms to measure and interpret physiologic signals (e.g., surface electrocardiogram (ECG), heart rate, blood pressure, respiration, etc.)
• Preferred experience developing AI-based solutions, including machine learning / deep learning algorithms, for physiologic signal/data analysis

ZOLL is a fast-growing company that operates in more than 140 countries around the world. Our employees are inspired by a commitment to make a difference in patients' lives, and our culture values innovation, self-motivation and an entrepreneurial spirit. Join us in our efforts to improve outcomes for underserved patients suffering from critical cardiopulmonary conditions and help save more lives.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.