Staff Machine Learning Engineer – AI/ML Compiler
Qualcomm
At a glance
AI generatedJoin the Qualcomm AI Hub Workbench Cloud Services team as a senior engineer and work on the infrastructure that enables developers to profile and validate machine learning models on real Qualcomm devices in the cloud. You will design, develop, and maintain on-device ML profilers for Android, Linux, and Windows, integrating frameworks like Lite RT, ORT, and QAIRT with Qualcomm hardware across various platforms. Responsibilities include bringing up new hardware, supporting operational issues, and collaborating with internal teams and external partners such as Google and Microsoft to define requirements and features. The role requires proficiency in Python, C++, and cross-platform development, along with experience in ML model concepts and software engineering best practices. This unique cloud service operates at a large scale, impacting the developer experience and runtime performance across Qualcomm AI Hub products.
Skills
What you'll do
What we're looking for
Market check
This $160,500–$240,700 range sits above 46% of similar postings on FindRole.
Peer median band
$161,700–$245,600
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$176,000–$246,150
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 564 open roles on FindRole.
Listed pay typically runs $148,300–$224,400 across 531 roles with salary data.
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