Advisory ECG Algorithms Engineer

Location: Remote, PA

Cardiac Management Solutions

The Cardiac Management Solutions division of ZOLL Medical Corporation develops products to protect and manage cardiac patients, including the LifeVest® wearable cardioverter defibrillator (WCD), the ZOLL cardiac monitor, and associated technologies.

Heart disease is the leading cause of death for both men and women in the U.S. At ZOLL, your work will help to ensure cardiac patients get the life-saving therapy they need. To date, the LifeVest WCD has been worn by hundreds of thousands of patients and saved thousands of lives.

ZOLL has been Pittsburgh’s Manufacturer of the Year, one of Western PA’s Healthiest Employers, and even one of Pittsburgh’s Coolest Offices. But it’s our unique opportunity to impact people’s lives that makes ZOLL the ideal place to build your career.

Job purpose

Develop, implement, and analyze new signal processing algorithms for understanding ECG and other biosignals.  These algorithms turn raw signal data into actionable information that improves outcomes and quality of life for cardiac patients. 

Duties and responsibilities

  • Apply signal processing and machine learning techniques to detect / predict patient condition.

  • Collaborate with teams of Physicians, Marketing professionals, Engineers, Data Scientists, and Machine Learning Specialists, to understand needs, define requirements, and develop complete, fieldable solutions.

  • Keep abreast of pertinent signal processing / machine learning research by studying published work and attending conferences.

  • Manage research and development projects including scope, resources, and schedule.

  • Act as technical advisor to others in the R&D organization.

  • Promote development processes, tools, and best practices with the R&D organization.


  • B.S. Degree, or equivalent industry experience, in computer engineering / computer science or related field with an emphasis on digital signal processing or pattern recognition / machine learning.   M.S. or Ph.D. degree preferred.

  • Typically, 10+ years of practical research / development experience.  

  • Typically, 3+ years of practical experience developing algorithms for surface ECG using digital signal processing and / or machine learning.

  • Cardiac diagnostics industry knowledge / experience.

  • Proficiency with object-oriented and scripting languages, preferably Python.

  • Knowledge of cardiac electrophysiology is preferred. 

  • Excellent written and verbal communication skills. 

  • Demonstrated ability to influence and motivate team members across functions.

  • Excellent organizational skills with demonstrated ability to balance competing priorities.

  • Experience with mentoring junior engineers.

Working conditions

  • The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • The noise level in the work environment is usually quiet.

Physical requirements

  • The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • While performing the duties of this Job, the employee is regularly required to sit and talk or hear.  The employee is occasionally required to stand and walk.  The employee must occasionally lift and/or move up to 25 pounds.

Supervisory responsibility

No Direct Supervisory Responsibility

AAP/EEO Statement

ZOLL is committed to fostering an inclusive workplace, where unique identities, backgrounds, cultures, perspectives and experiences are respected and valued.

Equal Opportunity Employer – Disability and Veteran

ZOLL now mandates COVID vaccinations subject to legal exemptions.