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Jobs · Engineering · California

Senior Principal AI Solutions Architect

Sandisk · Milpitas, CA · 3 wk ago
EngineeringFull-time

About the role

The AI Solutions Architect will research and develop target workloads for various market segments for AI Inference, analyze system level performance, specify system level requirements, and collaborate with hardware and software teams to guide the development of next generation AI accelerators and software frameworks.

Responsibilities

  • Research and develop target workloads for various market segments for AI Inference
  • Analyze the system level performance of these workloads on different AI HW and SW frameworks
  • Specify system level requirements for different target markets for performance, cost, and power optimized solutions
  • Translate customer usages into realistic workloads that can be accurately modeled for performance, power, and cost in various hardware and software architectures
  • Predict trends in a quantitative way to influence hardware and software architecture direction
  • Collaborate with hardware and software teams to guide the development of next generation AI accelerators and software frameworks

Requirements

  • A Master's or PhD in Computer Science or Computer Engineering
  • 10+ years of working experience in AI/ML software, hardware architecture, and workload analysis
  • Strong expertise in AI accelerators, computer architecture, distributed systems, memory hierarchies, and high performance interconnects used in AI systems
  • Ability to convert customer usages into realistic workloads that can be accurately modeled for performance, power, and cost in various hardware and software architectures
  • Ability to predict trends in a quantitative way to influence hardware and software architecture direction
  • Proficiency in using tools to profile, analyze, and optimize performance
  • Excellent communication skills

Qualifications

  • Required: A Master's or PhD in Computer Science or Computer Engineering
  • Required: 10+ years of working experience in AI/ML software, hardware architecture, and workload analysis
  • Required: Strong expertise in AI accelerators, computer architecture, distributed systems, memory hierarchies, and high performance interconnects used in AI systems
  • Required: Ability to convert customer usages into realistic workloads that can be accurately modeled for performance, power, and cost in various hardware and software architectures
  • Required: Ability to predict trends in a quantitative way to influence hardware and software architecture direction
  • Required: Proficiency in using tools to profile, analyze, and optimize performance
  • Required: Excellent communication skills

Skills

  • Strong expertise in AI accelerators, computer architecture, distributed systems, memory hierarchies, and high performance interconnects used in AI systems
  • Ability to convert customer usages into realistic workloads that can be accurately modeled for performance, power, and cost in various hardware and software architectures
  • Ability to predict trends in a quantitative way to influence hardware and software architecture direction
  • Proficiency in using tools to profile, analyze, and optimize performance

Benefits

Compensation details are provided in the Additional Information section. Benefits include:

  • Paid vacation time
  • Paid sick leave
  • Medical/dental/vision insurance
  • Life, accident and disability insurance
  • Tax-advantaged flexible spending and health savings accounts
  • Employee assistance program
  • Other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity
  • Tuition reimbursement
  • Transit
  • The Applause Program
  • Employee stock purchase plan
  • The Sandisk's Savings 401(k) Plan

Pay

Details about pay are provided in the Additional Information section. Compensation may vary based on factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.

Schedule

Details about the schedule are provided in the Additional Information section. The schedule may vary based on the needs of the organization.

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