Senior Software Engineer

Siemens Healthineers AG

Dättwil

On-site

CHF 120,000 - 180,000

Full time

2 days ago
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Job summary

Siemens Healthineers AG in Switzerland seeks a software engineer to develop tissue tracking, motion estimation, and medical image analysis methods for radiotherapy. You will implement production-quality code in Python, C++, and CUDA, and collaborate with clinicians and researchers to advance next-generation imaging products.

The role requires advanced degrees and strong software practices, including ML/DL framework experience.

Qualifications

  • MSc or PhD in Computer Science, Biomedical Engineering, Applied Mathematics, Physics, or a related field.
  • Strong software engineering skills and experience developing production-quality code in a team environment.
  • Excellent programming skills in Python, C++, and CUDA.

Responsibilities

  • Develop and maintain algorithms for tissue tracking, patient positioning, and motion estimation in radiotherapy.
  • Design and evaluate conventional and AI-based methods for medical image analysis and tracking.
  • Optimize algorithms for clinical deployment using C++, CUDA, C# and Python.
  • Create realistic simulation of synthetic ground-truth data for quantitative algorithm validation.
  • Collaborate with multidisciplinary teams to bring innovative algorithms into clinical products.

Skills

Python
C++
CUDA
CI/CD
Git
Deep Learning
Medical imaging
Machine learning

Education

MSc or PhD in Computer Science or related

Tools

Git
CI/CD
CUDA toolkit

Job description

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.In this position, you will become member of a passionate team of highly competent software engineers and scientists developing next-generation products which will further increase the accuracy and confidence during radiation treatment targeting anatomies undergoing physiological motion.ResponsibilitiesDevelop and maintain algorithms for tissue tracking, patient positioning, and motion estimation in radiotherapy.Design and evaluate conventional and AI-based methods for medical image analysis and tracking.Optimize algorithms for clinical deployment using C++, CUDA, C# and Python.Create realistic simulation of synthetic ground-truth data for quantitative algorithm validation.Contribute to a shared codebase through code reviews, pull requests, testing, and documentation.Collaborate with multidisciplinary teams to bring innovative algorithms into clinical products.QualificationsMSc or PhD in Computer Science, Biomedical Engineering, Applied Mathematics, Physics, or a related field.Strong software engineering skills and experience developing production-quality code in a team environment.Excellent programming skills in Python, C++, and CUDA.Strong background in algorithm development and numerical methods.Experience with modern software development practices, including Git, code reviews, and CI/CD workflows.Experience with machine learning and deep learning frameworks is a plus.Background in medical imaging, computer vision, image registration, tracking, or computational modeling is advantageous.Analytical mindset, scientific curiosity, and excellent communication skills.Fluent in English.What We ValueScientific thinking and evidence-based problem solving.Passion for developing innovative algorithms that improve patient care.Ownership, code quality, and teamwork.#LI-OS1Who we are: We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.To find out more about Healthineers’ specific businesses, please visit our company page here.As an equal opportunity employer, we welcome applications from individuals with disabilities.Data Privacy: We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile where you can upload your CV. Setting up a profile also lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Register here to get started.Beware of Job Scams: Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees. These scammers may attempt to collect your confidential personal or financial information. If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers career site.To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes. As an equal opportunity employer, we welcome applications from individuals with disabilities.
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