The Job

Staff Embedded Machine Learning Engineer

Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Inbyggda system · Mjukvaruutveckling

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I korthet

Qualcomm is looking for an experienced Machine Learning Engineer with embedded systems expertise to develop and optimize AI solutions for automotive platforms. The role involves designing ML runtime frameworks, collaborating with hardware and model teams, and developing C++ code for efficient execution on embedded devices.

Ansvarsområden

  • Design and implement core components of the ML runtime framework for inference on embedded systems.
  • Collaborate with compiler, hardware, and model teams to co-design efficient execution paths for AI workloads.
  • Develop and maintain C++ code for runtime kernels and system-level integration.
  • Develop tools to assist with performance profiling and debugging of quantized model accuracy.
  • Analyze and improve runtime behavior using profiling tools and hardware counters.
  • Support deployment of models from popular ML frameworks (e.g., Onnx, TensorFlow, PyTorch) onto Qualcomm’s inference stack.
  • Drive innovations to be the best-of-class.

Krav

  • Strong hands-on experience in performance optimization for embedded or low-power systems.
  • Excellent in C++ programming, with a focus on system-level and runtime development.
  • Solid understanding of embedded system design, including memory hierarchy and hardware-software interaction.
  • Experience with Linux/Android/QNX development environments and toolchains.
  • Familiarity with computer architecture, especially for AI accelerators or DSPs.
  • Solid knowledge of machine learning concepts and model structures.
  • Optimization of algebraic operations in algorithms for HW cores.

Önskade kvalifikationer

  • Knowledge on deep learning and popular frameworks is an asset.
  • 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.
  • PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Förmåner

  • Competitive annual discretionary bonus program.
  • Opportunity for annual RSU grants.
  • Highly competitive benefits package designed to support your success at work, at home, and at play.
#Machine Learning#Embedded#AI#Inference#Qualcomm#C++#Engineering
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Företag

Qualcomm

Publicerade jobb

för 5 dagar sedan

Anställningstyp

Heltid

Arbetsform

På plats

Erfarenhetsnivå

Senior

Platser

Markham, Canada

Kvalifikation

Kandidatexamen

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