Staff Machine Learning Engineer - On-Device AI/ML

Qualcomm AI Hub Workbench Cloud Services Team

Qualcomm AI Hub is the platform for on-device AI — enabling developers to easily integrate, optimize, profile, and deploy ML models on Qualcomm devices. Qualcomm AI Hub Workbench lets developers compile trained PyTorch or ONNX models into deployable artifacts targeting a variety of runtimes — Lite RT, ONNX Runtime (ORT), or Qualcomm AI Engine Direct SDK (QAIRT) — and profile and validate them on real Qualcomm devices hosted in the cloud.

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.

What You'll Do

On-Device ML Profiler

• 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.

Minimum Qualifications:

• 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. OR 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.

Preferred Qualifications:

• 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.

Pay range and Other Compensation & Benefits :

$160,500.00 - $240,700.00