Machine Learning Engineer

SunGreenH2

SunGreenH2

Software Engineering

Xi'an, Shaanxi, China

Posted on May 17, 2026
Company

Qualcomm China

Job Area

Engineering Group, Engineering Group > Software Engineering

General Summary

Detailed Project Description

  • Participate in the development and optimization of Generative AI inference runtime (Genie) and AI co‑processors, improving large‑model execution efficiency on edge and embedded platforms.
  • Develop and maintain core modules of the GenAI Runtime, including model execution flows, resource scheduling, and runtime tools.
  • Support deployment and tuning of large language models (LLMs) and multimodal models on edge platforms, optimizing performance, memory footprint, and stability.
  • Assist in analyzing and resolving issues encountered during Generative AI runtime execution, supporting successful model and application enablement.
  • Collaborate with cross‑functional teams to drive adoption of Generative AI inference technologies in platform‑level scenarios.


Skills / Experience Required

  • Familiar with deployment methodologies for large models (LLM / LVM), with strong hands‑on engineering and coding capabilities.
  • Proficient in Android / Linux development environments and commonly used debugging tools.
  • Understanding of performance and memory optimization strategies in resource‑constrained environments.
  • Proficient in C++, with working experience in at least one of Java or Python.
  • Hands‑on experience with AI inference runtimes, AI acceleration, or edge AI deployment.
  • Experience with Qualcomm NPU deployment and development is a strong plus.


Education Requirements

Degree Major, GPA, CoursesMS in Electrical engineering, Electrical and Computer engineering, or Computer Science, MS preferred. Work experience: 1–3 years.

Minimum Qualifications

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.


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