Senior Software Engineer - Connectivity & Data Systems

Your work involves developing the software modules that enable remote monitoring and secure telemetry from the operating room.

Duties and Responsibilities:

• Specify, design, and develop applicative software modules in C++/Qt used to service, diagnose, and configure the robotic system.
• Participate in full system design, prototyping, and verification activities, bridging the gap between local software and cloud-based data systems.
• Act as a main contributor to the roadmap for implementing remote monitoring (IoT) and data connectivity for the Dexter system.
• Design and maintain scalable data pipelines for ingestion, processing, and visualization to ensure efficient data flow from the robot to the cloud.
• Contribute to the optimization of the DataFactory, ensuring operational reliability and performance within the Azure/Databricks environment.
• Implement automated validation checks and software test procedures to detect inconsistencies in data pipelines and local applications.
• Guide the configuration of internal tools to enhance data ingestion efficiency and ensure alignment with governance policies.
• Contribute to cross-functional investigations, including CAPA (Corrective and Preventive Actions) and root cause analyses related to data discrepancies.

• Master’s or Bachelor’s degree in Computer Science, Electronics, Electrical Engineering, or a related discipline.
• Significant professional experience (typically 10+ years) in software engineering, with at least 2 years focused on data engineering or connectivity solutions.
• Ability to effectively communicate and collaborate with stakeholders from different functions (e.g., Operations, Finance, Sales, R&D).
• Expert in C++ programming for Windows and high proficiency in the Qt framework.
• Strong expertise in Databricks, Azure, Terraform, and Azure DevOps.
• Proficiency in Python and SQL for data modeling and pipeline orchestration.
• Experience with industrial buses (e.g., CAN, EtherCAT) or embedded platforms is a plus.
• Familiarity with data governance frameworks and medical device quality management systems.
• Knowledge of data security principles, including access control, encryption, and anonymization techniques.
• Strong problem-solving skills, critical thinking, and adaptability in a fast-paced environment.
• Excellent communication skills, with the ability to present insights to both technical and non-technical stakeholders.
• Ability to document data governance policies, workflows, and quality standards effectively.

Benefits

What we offer:

• A dynamic, innovative environment with cutting-edge medical technology that is shaping the future of robotic surgery.
• Fast-growing Company where innovation meets agility.
• Structured onboarding program and training, ensuring a confident start.
• High degree of autonomy and flexibility.