2026 Intern for Crowd-Sourced Mapping Algorithms

Job description

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.

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.

Applicants

Qualcomm is an equal opportunity employer.

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