System Engineering and Data Analysis Intern

Role Overview:

Support engineering workflows by maintaining data pipelines and analysis tasks across JIRA, MATLAB, Python and requirement management tools. Deliver clear visualizations, help evolve internal analysis tools, and execute simple systems engineering activities. Leverage LLMs and basic AI agent concepts to boost productivity and quality.

Primary Responsibilities:

• Data operations & analysis:

• Maintain and triage JIRA tickets

• Download, organize, and version data files

• Analyze datasets (logs from vehicle testing and simulation) using MATLAB and Python tools; produce summaries and notebooks.

• Visualization & reporting

• Create clear, audience-appropriate visual charts/plots from MATLAB/Python outputs to monitor feature development metrics.

• Compile findings into short reports (Markdown/Word/PowerPoint) with reproducible steps.

• Systems engineering support

• Check requirement status/coverage and maintain traceability.

• Write and execute queries

• LLM/AI-assisted workflows

• Use LLMs assist data exploration and documentation while validating results.

• Apply basic AI agent concepts (tool-use chains, task decomposition, prompt hygiene) to automate repetitive tasks (e.g., log triage, plot annotation).

Minimum Qualifications (Must-Haves):

• Pursuing a BSc/MSc in Engineering.

• Comfortable with Python (NumPy, Pandas, Matplotlib/Seaborn) and MATLAB (scripts, functions, plotting).

• Demonstrated use of LLMs in coursework or projects (prompting, code explanation, critique).

• Basic proficiency in terminal applications (bash, SSH, file permissions, file operations).

• Clear communication of technical findings; ability to turn analysis into actionable visuals.

Preferred Qualifications (Nice-to-Have):

• Experience with data formats (CSV, Parquet, HDF5, MAT files) and basic SQL.

• Familiarity with AI

Tools & Environment (Nice-to-Have):

• Compute: Linux, Windows; local dev via VS Code.

• Languages: Python, MATLAB, shell (bash).

• VCS & CI: Git (GitHub/GitLab), basic CI pipelines.

• Tracking & Docs: JIRA, Confluence/Markdown, SharePoint/OneDrive.

• LLMs: Approved enterprise LLMs for assisted coding/docs (with policy compliance).

Working Practices & Expectations:

• Write reproducible analysis (scripts/notebooks + README + environment files).

• Produce traceable visualizations (labeled axes, units, legends, data sources).

Eligibility & Logistics:

• Internship during active studies; part-time (min. 20 hrs / week) or full-time (40 hrs / week).

• Onsite/Hybrid as per team policy; fluent in English for documentation and reviews.

Why join us?

• You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.

• You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.

• You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.

Your Benefits at Aptiv:

• Private health care (Signal Iduna) and Life insurance for you and your beloved ones

• Well-Being Program that includes regular webinars, workshops, and networking events

• Hybrid work

• Employee Pension Plan paid by the employer (you get + 3,5% on each gross salary.

• Access to sports groups and Multisport card

Apply today, and together let’s change tomorrow!

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Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.