Senior Software Engineer - Connectivity & Data Systems

Reposted 17 Hours Ago
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Epalinges, Vaud, CHE
In-Office
60K-120K Annually
Senior level
Healthtech • Robotics
The Role
The Senior Software Engineer will design and develop software modules for the Dexter robotic system, ensuring robust data management, secure telemetry, and compliance with data governance standards.
Summary Generated by Built In

As a Senior Software Engineer within the Application and Data team, you will be a main contributor to the technical bridge between the Dexter robotic system and our cloud analytics platform. You will play a key role in designing and maintaining data-driven solutions that ensure robust ingestion, high quality, and compliance with data governance standards across the organization. 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.

Requirements
  • 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.

Skills Required

  • 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
  • At least 2 years focused on data engineering or connectivity solutions
  • 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 and adaptability in a fast-paced environment
  • Excellent communication skills
  • Ability to document data governance policies, workflows, and quality standards
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The Company
HQ: Lausanne
188 Employees
Year Founded: 2012

What We Do

At Distalmotion, we aim to deliver the benefits of robotic surgery to more surgeons, more hospitals, and more patients globally. Our vision is to establish a new standard of care, removing traditional barriers and complexities of robotics to ensure greater access to best-in-class minimally invasive surgery. Its surgical robot Dexter® is designed to deliver the benefits of robotics to more hospitals by being simple and straightforward to use, and more accessible as a modular, small format, and open system. As an open system, Dexter is designed to work natively with third party 3D imaging systems, energy devices, vessel sealers and other laparoscopic devices. It has a suite of fully wristed single use instruments providing the user with dexterity, precision of movement, reliable instrument performance, and lower reprocessing requirements.

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