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(Senior) Software Engineer - Optimization Algorithms

Brainlab

München

Hybrid

EUR 50.000 - 70.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading health technology company in Munich is seeking a team member to design optimization algorithms and improve radiation planning workflows. The ideal candidate has a degree in medical physics or a relevant field and experience in programming with C++. This role emphasizes strong communication skills and a proactive, collaborative approach. Benefits include flexible working hours, extensive vacation days, and a hybrid work model within Germany.

Leistungen

30 vacation days plus additional holidays
Flexible working hours
Bike leasing
Subsidized company restaurant
Fitness program in company gym
Continued education opportunities

Qualifikationen

  • Completed degree in medical physics, physics, or computer science.
  • Experience with design optimization algorithms.
  • Enthusiasm for programming and hands-on project experience in C++.

Aufgaben

  • Design optimization algorithms and perform data analysis.
  • Contribute to product portfolio development for treatment planning.
  • Develop and release new techniques for automated radiation planning.

Kenntnisse

Design optimization algorithms
Data analysis in radiotherapy
C++ programming
Strong communication skills in English

Ausbildung

Degree in medical physics, physics, or computer science
Jobbeschreibung
Company Description

At the forefront of health technology for over 35 years, Munich-based Brainlab digitizes medical workflows, from diagnosis to therapy, to offer clinicians and patients better treatment possibilities. Our innovative digital ecosystem forms the basis for modern healthcare technology in 4000 hospitals in 120 countries.

Our key to success is our creative, talented and hard‑working team, which consists of around 2000 dedicated and inspiring individuals in 25 locations worldwide. To succeed in reaching our targets, we are seeking committed colleagues who can stand behind our core values curious, authentic and useful.

Job Description

Integrated into a team of physicists and computer scientists, you will:

  • design optimization algorithms and perform data analysis to enhance radiation planning workflows
  • contribute to the further development of our product portfolio for treatment planning in radiotherapy
  • develop, evaluate, and release new techniques that enable automated radiation treatment planning
  • work in a highly dynamic team environment characterized by close collaboration and frequent exchange with colleagues
  • work with an agile mindset and contribute to continuously improving processes and solutions
Qualifications
  • a completed degree in medical physics, physics, computer science, or a similar relevant field
  • experience with design optimization algorithms
  • ideally, practical experience in radiotherapy, particularly in data analysis, optimization, or treatment planning
  • enthusiasm for programming and hands‑on project experience in C++
  • very strong communication skills in English
  • interest in developing products with a strong customer‑centric perspective
  • a curious mindset with the motivation to continuously expand your skill set
  • a proactive, team‑oriented approach, bringing your strengths and ideas into a dedicated and collaborative environment
Additional Information
  • A mutually‑supportive, international team
  • Meaningful work with a lasting impact on medical technology
  • 30 vacation days, plus December 24th and December 31st
  • Flexible working hours as well as hybrid work model within Germany
  • Bike leasing via cooperation partner "BikeLeasing"
  • Parking garage and safe underground bike storage
  • Award‑winning subsidized company restaurant and in‑house cafes
  • Variety‑rich fitness program in our ultra‑modern 360m2 company gym
  • Regular after work, team, and company events
  • Comprehensive training and continuing education opportunities

Ready to apply? We look forward to receiving your online application including your first available start date and desired salary.

Contact person: Elisabeth Karro

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