Careers
Quick summary
- Work type
- On-site
- Location
- San Diego, CA
- Posted
- 56 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $152,075–$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 660 open roles on FindRole.
Listed pay typically runs $154,000–$231,000 across 429 roles with salary data.
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At a glance
TL;DR · Careers
As a Research Engineer joining Qualcomm’s Artificial Intelligence R&D team, you will collaborate closely with experienced researchers to conduct cutting-edge fundamental research on machine learning methodologies that achieve state-of-the-art performance. Your daily tasks include developing innovative algorithms and compiler optimizations for Qualcomm AI chips, exploring nonconvex optimization techniques, and accelerating inference and learning through algorithmic and hardware innovations. You will work in a small technical team using advanced numerical computing tools and languages such as Python, PyTorch, and other deep learning frameworks. Ideal candidates possess strong mathematical foundations, programming skills, and experience with version control systems like Git. The role involves practical challenges related to on-device AI deployment for applications in autonomous driving, image recognition, and general vision-based environments, making significant contributions to Qualcomm’s mission of advancing wireless technology and AI capabilities globally.
Skills
What you'll do
- Conduct fundamental machine learning research to develop innovative methodologies.
- Implement new algorithmic solutions for Qualcomm hardware, improving performance.
- Develop compiler optimizations for advanced AI chips and inference acceleration.
- Evaluate and simulate possible solutions on GPUs and heterogeneous computing environments.
- Collaborate on state-of-the-art R&D in LLM inference efficiency algorithms.
What we're looking for
- Strong mathematics foundation and numerical computing background
- Experience in AI R&D with publication history in top-tier conferences/journals
- Proficiency in programming and engineering skills, including version control
- PhD in Computer Science, Applied Mathematics, Electrical Engineering, or related field
- Deep experience with Pytorch and Python packages for LLM efficiency research
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