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Software Engineer (C#, C++,Python, Medical Imaging, ML)

Référence du poste
514653
Publié depuis
28-Jul-2026
Domaine d'activité
Recherche et développement
Entreprise
Siemens Healthcare Private Limited
Niveau d'expérience
Expérimenté
Type de poste
Temps plein
Mode de travail
Au bureau / sur site uniquement
Type de contrat
Contrat à durée indéterminée (CDI)
Localisation(s)
  • Bangalore - Karnataka - Inde

Role & Responsibilities

-Works as Software Engineer in the MR Digitalization team, driving pre-development and innovation initiatives for MR scanner technologies. 

-Independently build prototypes and proof-of-concepts (PoCs) to validate new ideas, technologies, algorithms, and product concepts. 

-Take end-to-end ownership of technical topics-from concept exploration, solution design to implementation and validation with high-quality delivery

-Leverage AI-assisted engineering practices to accelerate experimentation, development, debugging, and technical problem solving.

-Documentation- Document technical specifications, design decisions, prototype outcomes, APIs/SDKs, and application guides

Qualification and Experience:

-   4–6 years of professional experience in software design and development

- B.E./B.Tech./M. Tech. in Biomedical Engineering, Computer Science, Electronics, or a related discipline. 

-  Strong programming skills in Python; experience with C# and C++ is desirable.

 -Hands-on experience in Machine Learning/CUDA, preferably applied to image and/or signal processing

- Familiarity with Docker/Containerization, Azure DevOps, and cloud platforms is desirable.

- Experience with medical imaging data (e.g., MRI, DICOM) is an advantage

-High learning agility with curiosity to explore and adopt emerging technologies and engineering practices. 

- Strong analytical and systems-thinking skills with the ability to solve complex technical problems

- Strong ownership, accountability, and ability to work with minimal guidance

- Excellent collaboration and communication skills in cross-functional and global teams