2 meilleures offres (ai/ml engineer, strasbourg, ge) (à pourvoir)

Software Engineer
Zimmer Biomet —Strasbourg (67)
- Temps plein
- Anglais
- C++
- Linux
Data Management Specialist
Zimmer Biomet —Strasbourg (67)
- Temps plein
- Azure
- Anglais
- Master

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Software Engineer

Zimmer Biomet -
Strasbourg (67)

Soumettre votre candidature

Détails de l'emploi

Temps plein

Qualifications

Jira
CI/CD
Git
Anglais
C++
Docker
OpenCV
Securité
Linux
Production
Intelligence artificielle
Sécurité des systèmes
Python
Architecture logicielle
Debugging

Description complète du poste

At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds.

As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talent team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. We are committed to creating an environment where every team member feels included, respected, empowered and recognised.

What You Can Expect

At OrthoGrid Systems, we develop advanced software that assists orthopedic surgeons during image-guided procedures. Our products combine computer vision, artificial intelligence, and medical imaging to deliver real-time clinical guidance that improves surgical accuracy and patient outcomes.

As a Senior Software Engineer, you will play a key role in designing, developing, and delivering safety-critical medical software. You will collaborate with experts in software engineering, AI, medical imaging, and quality engineering to build products used in operating rooms around the world.

How You'll Create Impact

Design, develop, test, and maintain high-quality software solutions primarily using C++, Qt and Python.
Contribute to software architecture, technical design, and technology selection.
Build, package, and deploy software through automated CI/CD pipelines
Collaborate with AI researchers to integrate machine learning models into production software.
Work closely with Product, QA, UX, and Regulatory teams throughout the development lifecycle.
Deploy and optimize applications on dedicated Linux-based medical systems.
Design software with cybersecurity, reliability, and regulatory compliance in mind.
Produce and maintain professional-level technical documentation covering architecture, implementation, deployment, and maintenance activities.
Provide technical leadership and mentorship to senior and junior developers

What Makes You Stand Out

Analytical and solution-oriented.
Passionate about building reliable, high-quality software.
Comfortable working independently while collaborating across multidisciplinary teams.
Curious and eager to learn new technologies.
Ability to communicate complex technical concepts to both technical and non-technical audiences.
Leadership mindset with a collaborative and mentoring approach.
Fluent in English for collaborative work.

Your Background

Required Qualifications

5+ years of professional software engineering experience developing on production-grade applications.
Proficiency in C++, and good working knowledge of Python
Proven experience developing applications with Qt Framework (GUI, multithreading, Signals/Slots, custom widgets)
Solid understanding of software architecture and object-oriented design
Experience developing and deploying software with Linux
Experience with Docker, TeamCity (or equivalent CI/CD platforms) and Git
Experience writing automated unit and integration tests (e.g., GoogleTest)
Strong debugging, performance optimization, and refactoring skills.
Experience participating in code reviews and collaborative development workflows.
Understanding of cybersecurity principles for software systems.
Familiarity with Secure Boot, TPM, secure key management, and Linux system security.

Preferred Qualifications

Experience developing medical device software.
Experience working within IEC 62304 development processes.
Experience supporting FDA or MDR submissions.
Experience with ISO 13485 and ISO 14971.
Experience deploying AI/ML models into production environments.
Experience supporting software verification, validation, audits, and regulatory compliance.

Technology Stack

Linux
C++, Qt, CMake, GoogleTest
Python
Git, Docker TeamCity, Jira, CI/CD
OpenCV
AI / Machine Learning integration
Secure Boot, TPM
Medical Imaging

Travel Expectations

This position is based in Strasbourg, France.

Occasional travel to the United States may be required for product development, testing, customer support, or team collaboration.

EOE/M/F/Vet/Disability

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Software Engineer

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : ai/ml engineer (strasbourg, ge)

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