Staff Machine Learning Engineer - On-Device AI/ML

Join the Qualcomm AI Hub Workbench Cloud Services team and work on the infrastructure that drives on-device AI! Workbench uses real devices in the cloud to enable customers to profile and validate ML models. You will work on the integration of Lite RT, ORT and QAIRT with Qualcomm devices spanning Android, Linux, and Windows, with dispatch to CPU, GPU and NPU. Opportunities abound on this very senior team which operates a one-of-a-kind cloud service., * Design, develop, and maintain on-device ML profiler applications for Android, Linux, and Windows.

• Integrate and support ML runtime frameworks (currently Lite RT, ORT, QAIRT) in the on-device profiler.
• Collaborate with partner teams inside Qualcomm, Google, and Microsoft to define requirements and new features.
• Work on cutting-edge hardware and ML runtime frameworks.

Cloud Services & Infrastructure

• Bring-up new Qualcomm hardware in AI Hub Workbench.
• Support operational issues in device integrations.
• Integrate with multiple cloud service device providers.
• Collaborate with other AI Hub teams to provide device and ML runtime support.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience., Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience., * 3+ years of industry experience in ML frameworks or C++ systems engineering.

• Proficient in Python.

• Experience with ML model concepts (graphs, operators, shapes, backend lowering).

• Experience with cross-platform C++ development, CMake, Android, Linux, Windows.

• Strong written and verbal communication skills; proficiency with git and software engineering best practices.

Level of Responsibility:

• Works independently on open-ended hardware and systems engineering challenges.
• Collaborates and communicates technical hardware and runtime requirements to Product Management, Engineering, partner teams, and customers.
• Decision-making has broad impact - affecting inference correctness, runtime performance, and the developer experience across Qualcomm AI Hub.
• Has meaningful influence on the Qualcomm AI Hub Workbench device roadmap.

4.0 San Diego, CA $160,500 - $240,700 a year, The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link .

Qualcomm Technologies, Inc., Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits : $160,500.00 - $240,700.00