Careers
Quick summary
- Work type
- On-site
- Location
- —
- Posted
- 60 days ago
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Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $152,150–$208,800.
Based on 239 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 745 open roles on FindRole.
Listed pay typically runs $154,000–$231,000 across 423 roles with salary data.
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At a glance
TL;DR · Careers
As a senior researcher in generative AI at Qualcomm, you will lead high-impact research initiatives focusing on efficient architectures for LLMs, multi-modal foundation models, reinforcement learning, and agentic AI. Your daily tasks include developing practical solutions to real-world challenges, implementing and evaluating models in simulation and on-device environments, and contributing to strategic projects that enhance embedded intelligence. You must have a strong publication record in top-tier conferences like NeurIPS and ICML, along with hands-on experience in model development pipelines. Preferred qualifications include expertise in LLM efficiency research, on-device AI deployment, and optimization techniques such as quantization and distillation. This role offers the opportunity to collaborate with leading researchers globally and work on projects that bridge cutting-edge theory with real-world applications.
Skills
What you'll do
- Conduct advanced research in efficient generative AI models and multi-modal foundation models.
- Lead the transition of cutting-edge AI research into production-ready solutions for real-world applications.
- Develop practical solutions considering device constraints and deployment challenges.
- Evaluate model implementations in both simulation and on-device environments rigorously.
- Publish findings in top-tier AI/ML conferences to contribute to industry knowledge.
What we're looking for
- Proven research excellence with publications in top-tier AI/ML conferences.
- Deep expertise in generative AI, LLMs, multi-modal foundation models, and reinforcement learning.
- Hands-on experience with model development pipelines including training and optimization.
- Experience leading the transition of cutting-edge research into production solutions.
- PhD or MS with extensive AI research experience (4+ years for MS holders).
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