Agentic AI Systems Engineer @ Qualcomm
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About Agentic AI Systems Engineer
Qualcomm AI Research in Qualcomm China is advancing AI by integrating perception, reasoning, and action into devices. The team is dedicated to pushing the boundaries of fundamental AI research and scaling innovations across industries.
Key Responsibilities
- Design and develop system architectures for intelligent memory, learning, and personalization in on-device AI agents.
- Create techniques for contextual information utilization for adaptive user interactions.
- Research and implement algorithms from user experiences and environmental cues.
- Optimize model performance using advanced finetuning, reinforcement learning, and RLHF techniques.
- Develop and optimize on-device deployment models including agentic RAG based solutions.
- Build and maintain agentic workflows and robust evaluation frameworks.
- Collaborate with cross-functional teams to drive AI solutions.
Required Qualifications
MS with 2+ years of relevant experience, PhD, or equivalent practical experience is preferred in Computer Science, Computer Engineering, Artificial Intelligence, Electrical Engineering, or related field.
Preferred Skills
- Deep learning and machine learning expertise.
- Excellent Python programming and proficiency in PyTorch.
- Experience with LLM techniques including RAG, prompting, and post-training.
- Familiarity with advanced RL & RLHF techniques (PPO, GRPO, ARPO, etc.).
- Experience in Natural Language Processing, LLM prompt engineering and fine-tuning.
- Knowledge representation and reasoning systems expertise.
- Experience with on-device AI and lightweight model development.
- Problem-solving, analytical skills, and effective communication.
- Familiarity with AI coding assistants is a plus.
Minimum Qualifications
Either a Bachelor's degree with 4+ years, a Master's degree with 3+ years or a PhD with 2+ years of relevant engineering or systems experience.
Equal Opportunity
Qualcomm is committed to providing an accessible hiring process and is an equal opportunity employer. For disability accommodations, please contact disability-accomodations@qualcomm.com.
Key skills/competency
- AI Research
- Machine Learning
- Deep Learning
- RLHF
- Python
- PyTorch
- LLM
- System Architecture
- NLP
- On-device AI
How to Get Hired at Qualcomm
🎯 Tips for Getting Hired
- Research Qualcomm: Study their mission, values, and innovations.
- Customize your resume: Emphasize AI, ML, and DL skills.
- Prepare technically: Highlight your experience with RL and LLM techniques.
- Showcase teamwork: Provide examples of cross-functional collaboration.