Generative AI Engineer (Up to Senior Staff level)

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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:

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.

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