Qualcomm

Machine Learning Engineering (ML Apps)

Qualcomm
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3 days ago
San Diego, CA, USAMid Level
H1B Sponsor

Base Salary

$141k - $211k/yr

Responsibilities

  • Architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases.
  • Enable on-device AI through model fine-tuning, hardware acceleration, model quantization, edge inference, and on-target deployment.
  • Collaborate with multidisciplinary machine learning researchers and software engineers in a dynamic research environment.
  • Apply modern software engineering practices with a focus on usability, debugging, and problem solving.

Requirements

  • Strong Python and C/C++ design and implementation skills.
  • Knowledge of deep learning and machine learning frameworks such as PyTorch.
  • Strong software design skills focused on usability, along with analytical, debugging, and problem-solving abilities.
  • Experience in embedded software development.
  • At least 3 years of relevant work experience is requested in the role description.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field with 2+ years of relevant experience; or a master's degree with 1+ year; or a PhD in a related field.
  • Preferred qualifications include Java programming, generative AI, Android programming, neural-network model optimization, on-target deployment, Docker, Git, and knowledge of NPUs or ML accelerators.

Benefits

  • Competitive annual discretionary bonus program.
  • Opportunity for annual RSU grants.
  • Competitive benefits package supporting employees at work, at home, and at play.
Qualcomm

About Qualcomm

10,000+ employees

Inspired by 250 years of American ingenuity, we build technologies that expand what’s possible. From wireless to AI at scale and 6G, our innovations power progress worldwide.

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