Careers
Quick summary
- Work type
- On-site
- Location
- Austin, TX
- Posted
- 30 days ago
- Closes
- Nov 11, 2026
- 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 $166,100–$232,000.
Based on 240 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 750 open roles on FindRole.
Listed pay typically runs $154,000–$231,000 across 430 roles with salary data.
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At a glance
TL;DR · Careers
As a Principal Machine Learning Engineer at Qualcomm Technologies, you will join a dynamic team focused on advancing the integration of state-of-the-art machine learning solutions across mobile, edge computing, automotive, and IoT sectors. Your role involves developing and optimizing ML frameworks and tools to enhance model efficiency and performance on various hardware platforms. You will collaborate closely with cross-functional teams to design and implement advanced AI hardware co-optimized for inference and training, while also leading the development of critical software components such as machine learning kernels and compiler tools. With expertise in Python, C++, TensorFlow, PyTorch, and embedded system optimization, you will drive innovative ML solutions that address complex business challenges, ensuring seamless integration with Qualcomm’s cutting-edge hardware technologies.
Skills
What you'll do
- Leads the development and application of advanced machine learning techniques into products.
- Develops optimized software enabling AI models on specific hardware features.
- Collaborates with hardware teams for joint design and development of ML solutions.
- Oversees experiments to train and evaluate complex machine learning solutions.
- Extends training or runtime frameworks with new features and optimizations.
What we're looking for
- 5+ years experience with multiple machine learning frameworks like TensorFlow, PyTorch.
- 5+ years developing and optimizing embedded systems for specific ML problem domains.
- 5+ years programming in languages suitable for machine learning such as Python or C++.
- Deep expertise in statistics and probability for advanced ML applications.
- Experience working in large matrixed organizations and interacting with senior leadership.
- Developed at least one novel Machine Learning architecture.
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