2026 Intern for Crowd-Sourced Mapping Algorithms

Location: Chengdu, Sichuan, China Department: Interim Engineering Intern - SW

Company

Qualcomm China

Job Area:Interns Group, Interns Group > Interim Engineering Intern - SW

General Summary

About the Role

Join us to explore how deep learning can transform server-side crowdsourced mapping. This internship offers hands-on experience with advanced AI techniques applied to real-world mapping challenges.

What You’ll Do

Data Annotation: Prepare and label datasets for training robust models.

Model Development & Optimization

Design and fine-tune neural networks to convert crowdsourced trajectory data into accurate road-level networks.

Create algorithms for generating lane-level topology in complex intersections and roundabouts.

Develop strategies to ensure model resilience against noisy or incorrect data.

What We’re Looking For

Strong foundation in Python, deep learning frameworks (e.g., TensorFlow, PyTorch).

Familiarity with computer vision, graph-based models.

Surveying/mapping background is preferred.

Analytical mindset and passion for solving complex problems.

Ability to commit for 6+ months.

Why Join Us?

Work on real-world applications impacting next-generation mapping technology.

Collaborate with experienced engineers and researchers in an innovative environment.

Gain exposure to cloud computing, AI-driven mapping, and autonomous driving ecosystems.

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