BS student AI (f/m/d)

Job Details:

Job Description:

The Role and Impact As a Development Tools Software Engineering Intern, you will play a vital role in shaping innovative solutions that enhance developer productivity and elevate code quality. This position offers you a unique opportunity to contribute to the evolution of Intel's cutting-edge tools, including compilers, debuggers, profilers, and build systems, which are foundational to engineering workflows. Collaborating with a diverse team of engineers, architects, and product experts, you will make a meaningful impact by driving improvements to Intel's toolchain integration, performance analysis, and feature development. Through hands-on projects, you will gain invaluable experience, develop industry-relevant skills, and explore exciting career opportunities-all while contributing to Intel's mission of engineering the future. Key Responsibilities - Assist in the design, development, and enhancement of Intel's development tools, such as compilers, debuggers, and build systems. - Contribute to toolchain integration and feature development efforts to streamline engineering workflows. - Support performance analysis and optimization of developer tools to improve efficiency and code quality. - Collaborate with software engineers, architects, and product teams to align tools with evolving platform requirements. - Participate in Agile development processes, including sprint planning, stand-ups, and retrospectives. - Engage in hands-on learning experiences and complete projects that align with Intel's business objectives.

Qualifications:

Minimum Qualifications - Currently pursuing a Bachelor's degree in Computer Science, Software Engineering, or a related field. - Proficiency in programming languages such as C, C++, or Python. - Familiarity with scripting languages such as Shell, Bash, or PowerShell. - Understanding of software development methodologies and debugging practices. - Demonstrated ability to solve technical problems and implement efficient solutions. - Knowledge of version control systems, such as Git. Preferred Qualifications - Exposure to Agile development practices and tools, such as Jira or Kanban boards. - Strong communication skills and the ability to collaborate in a team environment. - Interest in learning about Intel's platforms and their development ecosystems. - Passion for software engineering, technology innovation, and continuous improvement. We are looking for passionate and driven individuals who are excited to learn, grow, and contribute to Intel's mission of pushing technological boundaries. If you are ready to join a collaborative and supportive team that values your curiosity and creativity, we encourage you to apply today.

Job Type:

Student / Intern

Shift:

Shift 1 (Germany)

Primary Location:

Germany, Munich

Additional Locations:

Business group:

The Central Engineering Group (CEG) is Intel's data-driven organization that builds scalable engineering solutions across three pillars: Product Enablement (IP, tools, and methodologies), Custom ASIC (leveraging existing IP for custom silicon), and Foundry Enablement (supporting top customers and validating technologies). The team focuses on customer-driven, end-to-end solutions with short development cycles to deliver measurable business impact across Intel's product and foundry businesses.

Posting Statement:

Position of Trust

N/A

EU Salary

We offer a total compensation package that ranks among the best in the industry.

The minimum Annual Salary for this job which could be performed in Germany is: 11 870,00 €

The job posting reflects the minimum base compensation for this role. Our standard internship rates are aligned with the specific job role and degree level. As part of our total compensation approach, the final offer may also include additional pay components and benefits. Your recruiting team will provide the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.

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. * Job posting details (such as work model, location or time type) are subject to change.