Generative AI Engineer, Senior Staff/Manager (LLM/VLM)

Company Qualcomm Vietnam Company Limited

Job Area Engineering Group, Engineering Group > Machine Learning Engineering

General Summary About this role: Qualcomm AI Research is at the forefront of on-device generative AI — pushing the boundaries of what smartphones, autonomous vehicles, robotics, and IoT devices can do. As a Generative AI Engineer Leader , you’ll work on state-of-the-art foundation models and deploy intelligence that reaches billions of people worldwide. If you’re passionate about LLMs , VLMs , and making AI fast, smart, and efficient — this is where you belong.

Key Responsibilities

• Train and fine-tune large-scale LLMs and VLMs for multi-modal and agentic tasks.
• Build end-to-end agentic AI prototypes for both on-device and cloud deployment.
• Drive model efficiency through quantization, pruning, and distillation — without sacrificing accuracy.
• Collaborate closely with hardware, software, and systems teams to bring research to real-world products.
• Implement experiments in Python and PyTorch; manage benchmarks across large-scale distributed setups.
• Share knowledge and best practices across teams, supporting the growth of junior engineers organically.

Minimum Requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or related field — what matters most is what you’ve built and shipped.
• 3+ years of hands-on experience designing, training, or optimizing LLMs, VLMs, or foundation models in real-world settings.
• Strong grasp of generative AI, multi-modal architecture, and training strategies at scale.
• Proficiency in Python and PyTorch; experience with distributed training frameworks (e.g., DeepSpeed, FSDP, or equivalent).
• Track record applying quantization, pruning, or distillation to reduce model footprint without degrading quality.

Preferred Qualifications

• PhD in Computer Science or Machine Learning
• Familiarity with hardware-aware AI optimization and deploying models on edge devices.
• Publications at top ML/AI venues — NeurIPS, ICML, CVPR, ACL, etc.
• Experience mentoring engineers or leading cross-functional research initiatives.

Your Impact Your work will power next-generation AI experiences on Qualcomm Snapdragon platforms — from the phone in your pocket to autonomous vehicles and industrial robots. You’ll be part of a world-class team that turns research papers into products used by billions.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

Master’s degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm’s toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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