Sr. Staff Software Engineer
Qualcomm
At a glance
AI generatedAs 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
What we're looking for
Market check
This $178,400–$267,600 range sits above 81% of similar postings on FindRole.
Peer median band
$143,000–$243,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$165,000–$216,475
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 569 open roles on FindRole.
Listed pay typically runs $148,300–$224,400 across 536 roles with salary data.
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