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Staff Machine Learning Engineer - On-Device AI/MLQualcomm • Santa Clara, California, United States
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Staff Machine Learning Engineer - On-Device AI/ML

Qualcomm
  • US
    Santa Clara, California, United States
  • US
    Santa Clara, California, United States
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À propos

General Summary 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. 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, software, or systems engineering experience. Master’s degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of hardware, software, or systems engineering experience. PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of hardware, software, or systems engineering 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. Equal Opportunity Employment Qualcomm is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected classification. Pay Range and Benefits $160,500.00 – $240,700.00, plus a competitive discretionary bonus program and RSU grants. Additional benefits package supports success at work, at home, and in play.
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  • Santa Clara, California, United States

Compétences linguistiques

  • English
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