This position is part of Novanta’s Advanced Surgery business unit. Specialized in the field of Minimally Invasive Medicine, Novanta Medical develops devices and accessories so that doctors can operate with small cuts. We produce Cameras, Insufflators, Medical Pumps, and tubing that makes diagnosis and treatment easier for everyone. Our insufflators and pump systems dilate cavities in the body and turn previously complicated surgeries into minor procedures. Together with customers, doctors, and technical experts, our teams continuously search for new ways to innovate.

Tasks

Primary Responsibilities

Leading software development for medical devices and guiding engineers in the implementation of software solutions
Leading the transformation from classical software development to AI-supported software development within the team
Requirements analysis based on the functional specification or other requirements
Creating and reviewing software requirements and maintaining the required software and device documentation for medical-device development, including documentation needed for compliance, traceability, and product lifecycle support
Conducting design and code reviews
Independent planning of tasks for oneself and the team
Creation and execution of software tests
Analysis and correction of software modules in highly complex error cases
Applying software standards and ensuring standards within the team
Creating and maintaining comprehensive technical and regulatory documentation to ensure compliance with FDA and ISO 13485/IEC 62304 standards
Further development of internal software standards
Assumption of advanced technical or organizational roles within the organization (e.g., Product Owner)
Leading and organizing training sessions on software development practice, tools, and standards
Support for strategic decisions in the specialist area through preparation, evaluation, recommendation, and advice

Additional Responsibilities

Leading software development for regulated medical devices and supporting engineers in complex implementation decisions
Identifying, evaluating, and introducing AI-supported software development practices, tools, and workflows in the specialist area
Supervision of students and external development service providers with focus on technical quality, regulatory expectations, and team learning
Assessment of the impact of changes to standards, technologies, and AI-supported development methods on the specialist area
Independent mentoring of new employees and engineers in software development practices
Participation in the hiring process for new employees, with focus on technical leadership capability and readiness for AI-supported software development
Support in the performance evaluation of employees by providing technical input on software engineering skills, collaboration, and development practices
Participation, where appropriate, in specialist conferences and external committees to monitor trends in medical-device software development and AI-supported engineering
Advising management on business and technology decisions related to software development leadership and AI-supported software engineering

Requirements

Required Experience, Education, Skills, Training and Competencies

Degree in computer science, electrical engineering, mechatronics, systems engineering, automation engineering, or equivalent
Approximately 2 years' experience in leading software development for regulated medical devices and guiding engineers in the implementation of software solutions
Strong understanding of AI-supported software development approaches and practices, with the ability to lead their adoption within a development team
Very good knowledge of system development, software architecture, and software design
Extensive knowledge of embedded software development in C/C++ sufficient to provide technical direction, review solutions, and guide implementation decisions
Experience providing technical guidance, mentoring engineers, and ensuring high-quality implementation in software projects
Confident use of software development tools, AI-supported engineering approaches, and Microsoft Office
Good verbal and written English skills (CEFR B2)*
Desirable: knowledge in the areas of electrical engineering and transmission protocols
Strong leadership mindset with the ability to guide engineers, set technical direction, and create alignment in software development activities
High willingness and capability to drive change, especially the transformation from classical software development to AI-supported software development
Quality-conscious, trustworthy, and reliable
Team-oriented, communicative, and able to influence without relying on direct disciplinary authority
Structured and systematic working style with the ability to translate strategic goals into practical team practices

Travel Requirements

Willingness to travel to all sites and business contacts, up to a maximum of 10% travel

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