Qualcomm · 2 months ago
AI/Machine Learning Researcher, Staff (AI Research)
San Diego, CA
Full-time
Onsite
Senior Level, Lead/Staff
$179K/yr - $269K/yr
4+ years expQualcomm is a leader in technology and AI research, seeking world-class researchers in artificial intelligence to join their team. The role involves conducting cutting-edge research in efficient generative AI and leading high-impact research initiatives while mentoring junior researchers and interns.
Artificial Intelligence (AI)Generative AISoftwareTelecommunicationsWireless
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)
Qualification
Required
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
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
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
Preferred
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
Benefits
Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package
Company
Qualcomm
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices.
10001+ employees
H1B Sponsorship
Qualcomm has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2013)
2024 (1910)
2023 (3216)
2022 (2885)
2021 (2104)
2020 (1181)
Funding
Current Stage
Public CompanyTotal Funding
$3.5M1991-12-20IPO
1988-01-01Undisclosed· $3.5M
Leadership Team
Cristiano Amon
President & CEO
I
Isaac Eteminan
CEO
Recent News
2026-01-17
Company data provided by crunchbase