We are looking for a new colleague that wants to work in the AI field on multiple levels of the software stack as a Scrum Master. We are a team tasked with the general discipline of system debug. We work from the lower levels of device firmware, up through driver layer, operating systems, applications, test environments and target environments. Collaborating with multiple teams in and around the organization to solve difficult and complex issues. Problems occur everywhere in the stack, and our job is to help with finding the solutions, swimming through a multitude of tools, concepts and data.
You will have the following responsibilities:
Coordinate and facilitate Scrum ceremonies for 3 teams
Apply the Agile and Scrum principles to the real-world context of our teams
Support investigations on complex issues raised on products in development
Learn general technical topics around the HW and SW
Support the investigation methods and process inside the product scope
Collaborate with the teams inside the organization
Improve team processes
Coach team on results driven execution
If you want to engage with in the full stack of AI development and want to bring quality to our products, the sys debug is on the hunt for you
We are looking for a colleague that fits the following profile (the more the merrier)
Minimum Qualifications:
Expertise in Agile Methodology
Expertise in operating systems (Windows / Linux)
Fluent English user
Expertise in SW development process and tools
Experience in working on complex projects, in collaboration with medium / large teams
Experience in developing embedded systems/software
Experience in using CI and SW automation solutions
Experience in any form of project management (+tools)
Preferred Qualifications:
Self motivation and drive
Expertise in 1 programming languages (C / C++ / python)
Problem solving skills
Willingness to work at multiple levels of the SW stack
Creativity and perseverance
General knowledge of AI concepts
General knowledge about a product in most points of its life-cycle
Quick learning
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.