Boston Scientific Systems Verification Engineer - II 

El Salvador, La Libertad, Lourdes 

173212997

Hybrid Roles:

About the role:

Seeking a skilled System Verification Engineer to join the Boston Scientific Neuromodulation R&D team. As a key member of the team, you will play a crucial role in ensuring the reliability and performance of our neuromodulation systems through rigorous verification processes. You will work closely with cross-functional teams to verify features and system functionality against design requirements. Your expertise will contribute to the development and execution of comprehensive system level design verification strategies, while collaborating with stakeholders to define design requirements and test methodologies.

This is a Hybrid role, located in Heredia and will require 3 days per week in the office.

Responsibilities:

• Conduct verification of implantable and external Neuromodulation Product Systems with a focus on hardware/software integrated systems.
• Develop and execute verification plans, protocols, and test cases to ensure product compliance with design specifications and regulatory requirements.
• Collaborate with cross-functional teams, including hardware, software, and system-level testing, to support verification activities.
• Assist in the development and support of verification tools, test environments, and automated test systems.
• Help create, establish, and document verification processes and methodologies, and provide support for validation and verification activities.
• Ensure that verification strategies cover detailed verification design requirements effectively.
• Identify technical risks and assist in developing risk mitigation plans. Implement phased verification approaches to mitigate risk and support the creation of documentation as part of the Product Development Process (PDP) and Quality Management System.

Minimum Requirements

• Bachelor’s degree or more from an accredited school in Electrical Engineering, Computer Engineering, Electromechanical Engineering, Systems Engineering, Computer Science, or related field.
• 2+ Years of work experience in engineering with a Bachelor’s degree.
• Ability to understand, properly interpret, and evaluate whether a design requirement is properly written.
• Proficiency in using automated testing frameworks is essential for efficiently conducting verification tests and ensuring the reliability and performance of the systems.
• Experience with version control systems (e.g., Git), Dev Ops and CICD methodologies.
• Knowledge of programming and scripting languages such as Python, C++, LabView, and Matlab for developing and executing verification tests, as well as for automating various aspects of the verification process.
• Fluency in using EE test equipment like oscilloscopes, function generators, and data acquisition (DAQ) equipment.
• Excellent written and verbal communication skills.
• English advanced

Preferred qualifications

• Understanding of hardware-software integration.
• Up to 1 year of work experience in Systems Verification.
• Experience working with complex HW systems, ideally implantable or capital medical products..
• Up to 1 year of experience designing verification strategies for systems-, sub-systems, system interfaces, and integration.
• Experience in with system characterizations and trade-offs analyses (Ex. power budgets, data storage/transmission, battery selection, BLE antenna designs, lead/electrode designs for various use cases).
• Experience with software products both as a Medical Device (SaMD) and in a Medical Device (SiMD).
• Experience with Data Privacy and Cybersecurity for connected medical product systems.
• Experience collaborating with hardware, mechanical, electrical, algorithms, and software teams.
• Experience in algorithm and firmware development and product implementation.
• Experience with hardware-cloud-app systems.
• Experience in the medical device, aerospace, electronics, or other advanced technology and/or regulated industries.
• Experience with advanced statistics, including T-Test, ANOVA, Gage R&R, Design of Experiments (DOEs), etc.