Company:
Qualcomm Auto Ltd Sweden Filial
Job Area:
Interns Group, Interns Group > Interim Intern
General Summary:
Background
High‑quality, well‑tracked data is the backbone of Computer Vision training. As volumes and vehicle configurations grow, teams need robust automation and tools to ensure every disk and dataset is correctly uploaded, ingested, validated, and surfaced to downstream users. This internship strengthens our operational reliability and speeds up the path from collection to training.
Purpose
Design and implement lightweight automation and operator-friendly tools that improve CV data handling in the pipeline (uploads, ingest, cataloging, quality checks, and reporting). Contribute to data logistics by building utilities and dashboards for data tracking, status visibility, and evaluation metrics, reducing manual effort and errors.
Student Background
We’re looking for a curious, hands‑on problem solver who enjoys turning operational needs into simple, reliable tools. Ideal candidates have:
- Proficiency in Python (data manipulation, scripting, simple APIs)
- Comfort with Excel/Pandas for quick analysis and reporting
- Experience in data analysis and visualization; ability to reason about data quality
- Strong problem‑solving mindset and willingness to learn fast
- (Nice to have) Exposure to R, SQL, Git, or Computer Vision/OpenCV concepts
- Clear communication and a practical approach to designing for operators/users
*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
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