Scrum Master jobs in Germany

This position is available as full time or part time.

Your area of responsibility:
We offer a Master student position for developing RTL automation environments to help our products to choose the right embedded memory strategy for fast and accurate integration.

The responsibilities will include but are not limited to:

• Ideate, plan, develop and run automated RTL test environments
• Compare and rate test coverage and test results
• Define test strategies to increase RTL code quality based on latest AI technology and algorithms
• Present results and best solutions to the internal memory team

• An excellent background in RTL (preferably system verilog and UVM)
• AI and test strategy experience

Education and Experience

• Degree (BS) in electrical engineering, software engineering, mathematics or equivalent experience
• Proven experience in HDL language
• experience in AI and software development
• Know-how on modern Software tools like python, perl, java, vscode
• Pursuing highest quality standards
• Excellent communication, fluent in English
• Demonstrated proficient documentations skills
• Must be able to work on multiple tasks concurrently.

Experience with Windows 11, Office 365 and UNIX/LINUX systems is required

our Execution Excellence & Transformation Team that focuses developing ways of working for our X-Ray and Generator development. We base our work on Scrum and Agile Principles with the outlook to continuously improve our organization. You will be closely working with our Scrum Masters in the organization.

You are responsible for

• Explore and establish new ways of process execution with the aid of digital automation and artificial intelligence
• Create Dashboards/Overviews that allow to extract data for further analysis
• Organize and support execution of our internal events such as Planning Events, Innovation Camps, Failure Speeches and other learning culture topics.
• Support the set up of agile project management and other hybrid ways of working in a development environment
• Enable knowledge sharing and set up structures where needed
  

To succeed in this role, you’ll need a customer-first attitude and the following

• You are currently doing your Bachelors or Master’s degree in the field of Software Engineering, Data Science, Computer science, Digital Transformation, Project Management or similar.
• Good understanding of common data processing / analytics and visualization techniques
• Advanced coding skills in Python (numpy, pandas, matplotlib / plotly, scipy, …)
• Basic knowledge and understanding of technical documentation. Ability to use MS Office applications (Word, Excel, PowerPoint)
• First experience with SQL is an advantage but not a must
• First experience with ML/AI methods and associated coding skills is an advantage but not a must
• Motivated self-starter, with ability to manage assigned tasks with little supervision
• Ability to communicate effectively in English – both verbally and in written communication, German is optional

Key Responsibilities:

• Conduct research and a literature review on static data layout optimization techniques and their impact on program performance.
• Collaborate with compiler engineers to develop a prototype or extend existing LLVM passes for global static data reordering based on CPU performance events.
• Analyze the performance impact of data reordering on various software benchmarks and real-world applications.
• Collaborate with domain experts and supervisors to refine approaches and validate results.
• Document research findings, implementation details, and results comprehensively for thesis submission and possible publication.

Requirements:

• Academic Background: Enrolled in a Bachelor's or Master's program in Computer Science, Software Engineering, or a related field.
• Knowledge of LLVM: Prior experience with LLVM or similar compiler frameworks is highly desirable.
• Understanding of Compiler Concepts: Solid grasp of data layout strategies and optimization techniques.
• Analytical Skills: Strong problem-solving abilities with a focus on performance analysis and optimization.
• Communication: Good written and verbal communication skills for documenting and presenting findings.