Přeskočit na obsah Přeskočit na zápatí

Lead Software Developer - Predev, Imaging

ID pozice
494845
Zveřejněno od
09-Úno-2026
Organizace
Siemens Healthineers
Obor
Research & Development
Společnost
Siemens Healthcare Private Limited
Úroveň zkušeností
S dlouholetou praxí v oboru
Typ pozice
Plný úvazek
Režim práce
Pouze na pracovišti
Druh smlouvy
Trvalý
Lokalita
  • Bengalúru - Karnataka - Indie
The Lead Software developer should be able to,

  • Lead the design and development of software solutions based on clinical and internal prototype requirements
  • Provide technical guidance and mentorship to team members and support knowledge sharing across the team
  • Communicate effectively and clearly explain technical concepts in both online and in-person settings with internal and external partners
  • Manage, prioritize, and contribute to multiple prototype topics simultaneously, adapting quickly to changing requirements
  • Explore new technologies and domains proactively, evaluate their applicability, and share learnings with the team
  • Analyze complex issues reported from customer or partner sites and drive solutions with minimal supervision
  • Demonstrate ownership and accountability for assigned technical areas and deliverables
  • Adapt to changing project needs, evolving priorities, and new technical challenges in a fast-paced R&D environment
Desired Knowledge & Experience:

  • Solid hands-on experience in software development using Python, C++. 
  • Strong experience in developing medical imaging applications ( Experience in MeVisLab is preferred ) 
  • Experience with ASP.NET Core and Angular for internal tools or web-based applications
  • 8+ years of relevant industry experience with a degree in Computer Science or equivalent Engineering / Master’s degree
  • Strong understanding of DICOM concepts and medical image handling
  • Good knowledge of image processing techniques, including:
    • Coordinate system transformations (voxel ↔ world)
    • Resampling and interpolation
    • Image filtering and basic registration concepts
  • Good understanding of NumPy and Pandas; familiarity with scikit-learn for numerical and scientific computing is a plus
  • Prior experience in the medical domain, especially Computed Tomography (CT), is preferred
  • Ability to learn quickly, work independently, and support others when needed