Careers
Quick summary
- Work type
- On-site
- Location
- San Diego, CA
- Posted
- 49 days ago
- Nearby
- 99+ roles within 25 mi
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Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $152,075–$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 Senior Machine Learning Engineer on the cutting-edge AI hardware team, you will play a pivotal role in designing advanced machine learning hardware tailored for inference or training solutions. Your daily tasks include developing optimized software that leverages specific hardware features to enhance AI model performance and collaborating closely with hardware teams to ensure seamless integration. You will also apply machine learning techniques to create innovative products and solutions, enabling customers to harness the power of AI more effectively. With a focus on low-level interactions between operating systems like Linux, Android, and QNX, and hardware components, you will develop novel ML solutions aligned with product roadmaps and conduct experiments to train and evaluate models. This role demands expertise in machine learning frameworks, compiler tools, and proficiency in C++, Python, and other relevant languages.
What you'll do
- Designs advanced machine learning hardware co-integrated with software.
- Develops optimized AI model deployment tools for specific hardware features.
- Collaborates on joint design and development with hardware teams.
- Applies machine learning techniques to create innovative product solutions.
- Conducts experiments to train, evaluate, and improve machine learning models.
What we're looking for
- 2+ years experience in low-level OS-Hardware interactions.
- Designs advanced ML hardware co-developed with software teams.
- Develops optimized AI model deployment tools for specific hardware features.
- Applies machine learning techniques to products and customer solutions.
- Prototypes novel ML solutions based on product proposals and roadmaps.
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Qualcomm