Senior Datacenter AI Systems Architect & Solutions Lead

Qualcomm

San Diego (CA)

On-site

USD 162,600 - 244,000

Full time

14 days+
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Benefits offered by this job

Competitive annual discretionary bonus
Annual RSU grants
Comprehensive benefits package

Job summary

Qualcomm in San Diego is seeking a Datacenter AI Systems and Solutions Engineer to drive innovation in AI technologies. This role involves developing and optimizing cutting-edge AI frameworks and collaborating across teams to meet system-level standards.

Ideal candidates hold a Master’s or PhD in related fields, possess strong skills in Python and AI system architecture, and have a solid background in MLOps practices. A competitive salary of $162,600 to $244,000 annually is offered, along with comprehensive benefits.

Qualifications

  • Bachelor’s degree in Engineering or related field plus 6+ years of relevant experience.
  • Master’s degree plus 5+ years or PhD plus 4+ years experience in Systems Engineering.

Responsibilities

  • Lead AI/ML solutions development integrating Qualcomm AI hardware.
  • Drive design and optimization of Generative AI applications.
  • Conduct performance analysis and influence system requirements.
  • Collaborate across teams to validate AI system correctness.

Skills

Proficiency in Python
Experience with ML frameworks
Hands-on experience designing AI/ML systems
Understanding of Generative AI architectures
Experience with large-scale AI systems architecture
AI inference serving optimization
Experience with MLOps practices
Familiarity with automation and DevOps tools
Problem-solving skills
Experience with cluster schedulers

Education

Master’s or PhD in Engineering, Computer Science, or related discipline

Tools

Docker
Kubernetes

Job description

Qualcomm in San Diego is seeking a Datacenter AI Systems and Solutions Engineer to drive innovation in AI technologies. This role involves developing and optimizing cutting-edge AI frameworks and collaborating across teams to meet system-level standards.

Ideal candidates hold a Master’s or PhD in related fields, possess strong skills in Python and AI system architecture, and have a solid background in MLOps practices. A competitive salary of $162,600 to $244,000 annually is offered, along with comprehensive benefits.

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