Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will develop algorithms for deep learning and geometric processing to analyze medical imaging data and create precise 3D segmentations for planning cardiac interventions.
Job Technologies
Your role in the team
- Develop algorithms combining deep learning, computational geometry, and medical imaging for heart.ai, our cloud-based software supporting cardiac interventions.
- Build and optimize 3D segmentation, modeling, and measurement pipelines for clinically relevant planning workflows.
- Design, train, and validate DL models and geometry methods for integration into the heart.ai platform.
- Collaborate with Product and Engineering teams to translate clinical needs into robust algorithm designs.
- Work with Clinical, Regulatory, and Quality teams to ensure compliance with medical device development standards.
- Continuously improve algorithm accuracy, robustness, and computational efficiency while contributing to research and exploration of new methods.
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Our expectations of you
Qualifications
- MSc or PhD in Computer Science, Biomedical Engineering, Applied Mathematics, or a related technical field.
- Background in medical image analysis (CT/MRI/echo), including 3D data processing, mesh handling, and geometric feature extraction.
- Solid understanding of algorithm optimization, numerical stability, and rigorous validation methodologies.
- Strong communication skills, structured problem-solving capabilities, and a high sense of ownership.
Experience
- At least 3 years of experience developing deep learning models and computational geometry algorithms, especially deriving measurements from 3D segmentations.
- Strong software development skills, particularly in Python, and ideally experience with TypeScript and AWS-based cloud products.
- Experience collaborating with engineering, product, clinical, and quality teams; ideally within medical or regulated environments.
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What we offer
- Career development with an international company where you can grow the career you dream of.
- An attractive benefits package (e.g., attractive Abbott Pension Plan, a company bike, employee stock purchase program).
- A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
- A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
- A challenging position in a fast-growing crisis-independent industry.
- To become part of a dynamic, highly educated, highly skilled, and motivated team.
- Flat hierarchies, open appreciative mentality, and efficient, constructive lines of communication.
- Multi-national environment, where we foster the development of our talents within the enterprise.
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Benefits
More net
Topics that you deal with on the job
Job Locations
This is your employer
Abbott GmbH & Co. KG
Abbott is a company that helps people enjoy their lives to the fullest. We are constantly working on improving the treatment of cardiovascular diseases and developing food products for people of all ages worldwide.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Healthcare, Social Sector, Food Products
Software Engineer Deep Learning and Algorithms
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
