Agentic AI Systems Engineer

2 Hours ago • 2 Years +

System Design

Job Description

Qualcomm AI Research is advancing AI core capabilities – perception, reasoning, and action – to be ubiquitous across devices. This role involves designing and developing system architecture for intelligent memory, learning, and personalization in on-device AI agents. Responsibilities include researching and implementing algorithms for learning from user experiences, optimizing model performance using advanced finetuning and reinforcement learning techniques, and building robust evaluation frameworks for autonomous AI systems. The mission is to make breakthroughs in fundamental AI research and scale them across industries.

Good To Have:

In-depth knowledge in deep learning (DL) and machine learning (ML).
Excellent programming skills in Python, with proficiency in PyTorch.
Familiarity with LLM techniques, including RAG, prompting, post-training.
Familiarity with advanced RL & RLHF techniques, like PPO, GRPO, ARPO.
Research and development experience in LLM memory, knowledge representation, and reasoning systems.
Experience with on-device AI and lightweight model development.
Experience using AI coding assistants such as Claude code, Codex, or Cursor.

Must Have:

MS with 2+ years of relevant experience, PhD, or equivalent practical experience in Computer Science, Computer Engineering, Artificial Intelligence, Electrical Engineering or related field.
Design and develop system architecture for intelligent memory, learning, and personalization in on-device AI agents.
Create techniques for contextual information utilization, enabling adaptive and personalized user interactions.
Research and implement algorithms for learning from user experiences and environmental cues, transforming them into actionable insights and knowledge.
Develop technologies to enhance knowledge understanding and reasoning.
Optimize model performance under the agentic AI use cases, working on advanced finetuning, reinforcement learning, and RLHF techniques.
Develop and optimize models for on-device deployment, including agentic RAG-based solutions, LLM fine-tuning strategies, domain adaptation.
Build and maintain agentic workflows for autonomous AI systems.
Build robust evaluation frameworks for measuring and improving model performance.
Mandatory experience in Natural Language Processing (NLP), particularly in information extraction, LLM prompt engineering, and LLM fine-tuning.

Perks:

World-class health benefit option providing world-class coverage to employees and their eligible dependents.
Programs designed to help employees build and prepare for a financially secure future.
Self and family resources to help build emotional/mental strength and resilience, as well as define purpose.
Wellbeing programs and resources offering support to help employees Live+Well and Work+Well.
Continuous learning and development programs.
Tuition reimbursement.
Mentorships.

Add these skills to join the top 1% applicants for this job

team-management

cross-functional

communication

game-texts

pytorch

deep-learning

reinforcement-learning

python

algorithms

machine-learning

Job Posting Date

2025-10-09

Additional Job Posting Location

Shanghai CHN

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Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

About US

We are Qualcomm AI Research that are advancing AI to make its core capabilities – perception, reasoning, and action – ubiquitous across devices. Our mission is to make breakthroughs in fundamental AI research and scale them across industries. By bringing together some of the best minds in the field, we're pushing the boundaries of what's possible and shaping the future of AI. Welcome to visit our website at AI Research Areas | Intelligence on Devices | Qualcomm.

Job area: Engineering – Machine Learning Engineering

Minimum Qualifications

MS with 2+ years of relevant experience, PhD, or equivalent practical experience is preferred. Major in Computer Science, Computer Engineering, Artificial Intelligence, Electrical Engineering or related field.

Key Responsibilities

Design and develop system architecture for intelligent memory, learning, and personalization in on-device AI agents. Create techniques for contextual information utilization, enabling adaptive and personalized user interactions.
Research and implement algorithms for learning from user experiences and environmental cues, transforming them into actionable insights and knowledge, developing technologies to enhance knowledge understanding and reasoning.
Optimize model performance under the agentic AI use cases, working on advanced finetuning, reinforcement learning, and RLHF techniques, like RFT, GRPO, ARPO, and/or other modern policy optimization algorithms.
Develop and optimize models for on-device deployment, including agentic RAG-based solutions, LLM fine-tuning strategies, domain adaptation, and so on.
Build and maintain agentic workflows for autonomous AI systems. Build robust evaluation frameworks for measuring and improving model performance.
Collaborate with cross-functional teams to identify opportunities and implement AI solutions.

Preferred Skills

In-depth knowledge in deep learning (DL) and machine learning (ML).
Excellent programming skills in Python, with proficiency in PyTorch.
Familiarity with LLM techniques, including RAG, prompting, post-training.
Familiarity with advanced RL & RLHF techniques, like PPO, GRPO, ARPO and so on.
Mandatory experience in Natural Language Processing (NLP), particularly in information extraction, LLM prompt engineering, and LLM fine-tuning.
Research and development experience in LLM memory, knowledge representation, and reasoning systems.
Experience with on-device AI and lightweight model development.
Excellent problem-solving and analytical skills.
Effective communication and teamwork skills.
Experience using AI coding assistants such as Claude code, Codex, or Cursor is a plus.

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.

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.

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

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 disability-accomodations@qualcomm.com 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.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.

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