The Job

Machine Learning Engineer

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering

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In short

Qualcomm is seeking a Machine Learning Engineer in Raleigh, NC, to develop and implement cutting-edge machine learning techniques for efficient AI model deployment on Snapdragon platforms. Responsibilities include optimizing inference, debugging complex issues, and participating in agentic AI workflow adoption. A Bachelor's degree in a related field, strong programming skills in C++ and Python, and a solid understanding of ML/DL theory are required.

Responsibilities

  • Collaborate with cross-functional teams in the AI Software team at Qualcomm to optimize inference of AI models on Qualcomm AI accelerator IP.
  • Validate and optimize the performance and accuracy of quantized models through detailed analysis and testing of machine learning use cases.
  • Debug complex issues, perform root cause analysis, and ensure high system reliability.
  • Participate in the team's adoption of agentic AI workflows — leveraging tools such as Claude Code, or similar frameworks — to help automate quantization experimentation and model evaluation pipelines.
  • Participate in design and code reviews.

Requirements

  • Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field.
  • Strong programming skills in C++ and Python.
  • Solid understanding of Machine Learning and Deep Learning theory.
  • Proficiency in data structures, computer system architecture, and multi-threaded programming.
  • Familiarity with Linux environments.
  • Strong analytical and debugging skills.
  • Excellent communication skills (verbal, presentation, and written).

Desired Qualifications

  • Hands-on experience with DL frameworks: PyTorch, ONNX, etc.
  • Experience or familiarity with quantization techniques – PTQ, QAT, AWQ, SpinQuant, etc.
  • Experience or familiarity with Generative AI (GenAI) concepts and technologies.
  • Strong understanding of embedded systems and system design fundamentals.
  • Well versed in version control tools like git and build tools like cmake.
  • Awareness / exposure to agentic AI frameworks (e.g. Claude Code) and their application to development or testing automation.

Benefits

  • 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#AI#Deep Learning#Software Development#Inference Engine#Quantization#Optimization#Debugging#Agentic AI#Generative AI
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Company

Qualcomm

Job Posted

3 weeks ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Raleigh, United States of America

Qualification

Bachelor

Applicants

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