AI Software Engineer
Broadcom
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 AI in mobile, edge, auto, and IoT products. Your role involves creating and implementing cutting-edge machine learning frameworks and tools to optimize hardware and software for efficient model deployment across various technology verticals. You will collaborate closely with cross-functional teams to develop advanced ML hardware co-designed with software, enhancing features such as NLP and multimedia applications. Key responsibilities include extending training or runtime frameworks, developing optimized software for AI models on specific hardware, and conducting experiments to train and evaluate machine learning models. The ideal candidate has extensive experience in machine learning frameworks like TensorFlow and PyTorch, proficiency in programming languages such as Python and C++, and a strong background in statistics and probability. Additionally, you should have hands-on experience with embedded systems development and low-level OS interactions, along with proven leadership skills to guide technical projects effectively.
Skills
What you'll do
What we're looking for
Market check
This $158,400–$237,600 range sits above 57% of similar postings on FindRole.
Peer median band
$149,682–$230,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$149,262–$235,750
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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