AI​/Machine Learning Researcher, Senior​/Staff Engineer Levels; AI Research

Position: AI/Machine Learning Researcher, Senior/Staff Engineer Levels (AI Research )
Overview  Qualcomm AI Research is looking for world-class researchers in artificial intelligence to join our team. Members of our global team form a multi-disciplinary core research group within Qualcomm, spanning software, hardware, and systems. We contribute to technology deployed worldwide by partnering with our business teams across mobile, compute, automotive, cloud, and IOT. We also perform and publish state-of-the-art research on a wide range of topics in artificial intelligence and machine learning, ranging from general theory to techniques that enable deployment on resource-constrained devices.

We are dedicated to pushing the boundaries of AI across Generative AI, LLM and Multi-Modal Foundation Models, Reasoning, Reinforcement Learning, Agentic AI, and Autonomy, with a strong emphasis on efficient on-device intelligence. More details are available on Qualcomm AI focus.

Ideal candidates will have a strong publication record in top-tier AI/ML conferences and deep expertise in Reinforcement Learning and its applications in Generative AI, including LLM Reasoning, Agentic AI, and Autonomy. You will lead and contribute to high-impact research initiatives, collaborate with global teams, and help transition cutting-edge models into real-world applications. New Position.

Key Responsibilities   Conduct cutting-edge research in efficient generative AI: LLMs and Multi-Modal Foundation Models, LLM Reasoning, Reinforcement Learning, Agentic AI and others.
Lead efforts in transitioning research into production-ready solutions, enabling real-world applications and commercial impact.
Develop creative solutions with consideration of practical challenges on devices.
Implementation and evaluation of possible solutions in both simulation and on-device environments.
Contribute to Qualcomm’s strategic initiatives in efficient AI and embedded intelligence.
Publish in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP).

Required   PhD in Computer Science, Electrical Engineering, or related fields or MS with 4+ years of AI research, or related work experience.
Proven research excellence demonstrated by publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP).
Deep expertise in Generative AI, LLMs, Multi-Modal Foundation models, LLM Reasoning, Reinforcement Learning, and Agentic AI.
Hands-on experience with model development pipelines, including training, fine-tuning, evaluation, and optimization.

Preferred Qualifications   Experience in LLM efficiency research such as efficient attention, inference acceleration, or KV cache compression
Experience in on-device AI deployment on mobile or edge devices
Familiar with model optimization techniques such as quantization and distillation.

Why Join Us   Be part of a globally recognized AI research organization.
Work on impactful projects with real-world deployment.
Collaborate with top researchers across Qualcomm’s global network.
Thrive in an inclusive, innovation-driven environment.
Enjoy competitive compensation and career development opportunities.

Minimum Qualifications  Master s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
6+ months of experience developing and/or optimizing machine learning models, systems, platforms, or methods.

Equal Employment Opportunity  Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. We will provide reasonable accommodations to support individuals with disabilities in the hiring process.

Qualcomm expects its employees to abide by all applicable policies and procedures, including security and other requirements regarding protection of confidential information, to the extent permissible by law.

Pay range and Benefits  Pay range: $ - $. Salary is one component of total compensation, which may include discretionary bonuses and RSU grants. Qualcomm offers a competitive benefits package to support success at work and at home.

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