Company:Qualcomm Technologies, Inc.
Job Area:Engineering Group, Engineering Group > Machine Learning Researcher
General Summary:Position Summary:
Ideal candidates will have a strong publication record in top-tier AI/ML conferences and deep expertise in generative AI, including Multi-Modal Foundation Models, Efficient Architectures, LLM Reasoning, Reinforcement Learning, 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. Senior-level candidates are expected to demonstrate research leadership, mentor junior researchers and interns, and drive innovation aligned with Qualcomm's strategic priorities.
Key Responsibilities:- Conduct cutting-edge research in efficient generative AI: LLMs and Multi-Modal Foundation Models, LLM Reasoning, Reinforcement Learning, Agentic AI and others.
- Provide technical leadership in research and applied projects and guide research directions to best support company objectives.
- Mentor interns, junior researchers and engineers, fostering collaboration, growth and excellence in a dynamic R&D environment.
- 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 Qualifications:- 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:- PhD with 4+ years in Computer Science, Electrical Engineering, or related fields or MS with 8+ years of AI research, or related
work experience. - 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.
Minimum Qualifications:• Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• 6+ months of experience developing and/or optimizing machine learning models, systems, platforms, or methods.
Pay range and Other Compensation & Benefits: $179,000.00 - $268,600.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
