Senior Director Power Architecture, Datacenter AI

Qualcomm

Hillsboro (OR)

On-site

USD 250,000 - 376,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Qualcomm Technologies, Inc. in Hillsboro, OR is seeking a Data Center AI Pre and Post Silicon Power Lead to define and validate power targets across IP to rack, develop validation plans, and drive optimizations for AI accelerators.

You will collaborate with design, architecture, verification, firmware, and software teams to ensure robust power modeling, benchmarking, and tuning methods for high-efficiency silicon and system performance.

Qualifications

  • Bachelor's degree in Science, Engineering, or related field with 10+ years in ASIC design/verification/validation/integration.
  • Master's degree in Science, Engineering, or related field with 9+ years in ASIC design/verification/validation/integration.
  • PhD in Science, Engineering, or related field with 8+ years in ASIC design/verification/validation/integration.

Responsibilities

  • Characterize Data Center workloads on system to inform pre-Si modeling.
  • Define end-to-end power analysis plans for complex Datacenter AI systems.
  • Debug issues during pre-silicon, bring-up, validation, and production phases of SOC programs.
  • Define optimization strategy to deliver world-class datacenter AI efficiency.
  • Lead collaborative test approach with multiple teams and track test execution for performance and power.

Skills

ASIC design
Verification
Validation
Integration
C/C++
Python
Power analysis
SoC architecture
Architecture feedback

Education

Bachelor's degree
Master's degree
PhD

Tools

Emulation tools

Job description

Qualcomm Technologies, Inc.

Job Area

Engineering Group, Engineering Group > ASICS Engineering

General Summary

As a Data Center AI Pre and Post Silicon Power Lead, you will work to define and validate the power consumption targets of product under planning from IP, SoC, card to rack scale. You will help set up methodologies, develop validation and benchmarking plans, recommend tuning optimizations, and ensure that the silicon/system under development meets the highest power efficiency. You will also participate in architecture and product definition feedback for the next generation of AI accelerators by closing the loop with real silicon analysis.

Minimum Qualifications
  • Bachelor's degree in Science, Engineering, or related field and 10+ years of ASIC design, verification, validation, integration, or related work experience.
  • Master's degree in Science, Engineering, or related field and 9+ years of ASIC design, verification, validation, integration, or related work experience.
  • PhD in Science, Engineering, or related field and 8+ years of ASIC design, verification, validation, integration, or related work experience.
Roles And Responsibilities
  • Characterize Data Center workloads on system to provide inputs into pre-Si modeling and projection
  • Define end-to-end power analysis plans for complex Datacenter AI systems
  • Debug issues found during pre-silicon, bring-up, validation, and production phases of SOC programs
  • Define an optimization strategy that delivers world class datacenter AI efficiency
  • Lead collaborative test approach with multiple teams, and tracking test execution to make sure all features are performant and power optimized on time
  • Work closely with supporting teams in design, architecture, emulation, firmware, design verification and software to ensure readiness for first silicon arrival, evaluation of AI and system performance upon silicon arrival, and evaluation of critical AI workloads
  • Develop deep knowledge of AI infrastructure architecture, SoC system architecture, system benchmarking techniques, and power reduction and optimization methods
  • Drive technical innovation to enhance capabilities in system power validation including tools and script development, technical and procedural methodology enhancement, and various internal and cross-functional technical initiatives
Preferred Qualifications
  • Bachelor or Masters Degree in Computer or Electrical Engineering
  • 12 to 15+ years of practical experience in pre and post silicon performance and power analysis of SoCs
  • Strong programming/scripting skills (C/C++, Python scripts)
  • Strong familiarity with Data Center workloads, including compute, memory, and IO bound workloads
  • Strong analytical skills for test plan creation and debug
  • Strong communication and collaboration skills
  • Must excel in a dynamic team working environment
  • Must be a self-starter and be able to independently drive tasks to completion
  • Proven understanding of AI SoC, memory hierarchy, system interconnects.
  • Experience with platform benchmarking and knowledge of performance/power workloads
  • Experience with power analysis methods and comprehensive understanding of power consumption
  • Power management methodologies and deep understanding of tuning and optimization
  • Computer hardware and architecture (experience with datacenter servers a plus)

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay Range And Other Compensation & Benefits

$249,900.00 - $375,800.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Senior Director Power Architecture, Datacenter AI
Senior Director Power Architecture, Datacenter AI

Qualcomm • Santa Clara (CA)

On-site
USD 250,000 - 376,000
Senior Director Power Architecture, Datacenter AI
Senior Director Power Architecture, Datacenter AI

Qualcomm • Austin (TX)

On-site
USD 250,000 - 376,000
Senior Director Power Architecture, Datacenter AI
Senior Director Power Architecture, Datacenter AI

Qualcomm • San Diego (CA)

On-site
USD 250,000 - 376,000
AI Systems Hardware Engineer
AI Systems Hardware Engineer

Qualcomm • Santa Clara (CA)

On-site
USD 164,000 - 246,000
Staff Hardware Engineer, Power Delivery (AI Data Center)
Staff Hardware Engineer, Power Delivery (AI Data Center)

Qualcomm • Raleigh (NC)

On-site
USD 121,000 - 182,000
Competitive benefits package
Annual discretionary bonus
RSU grants
Staff Hardware Engineer, Power Delivery (AI Data Center)
Staff Hardware Engineer, Power Delivery (AI Data Center)

Socket.dev • Raleigh (NC)

On-site
USD 121,000 - 182,000
Annual bonus
RSU grants
Benefits package
SoC Power Design Engineer (Engineer - Staff Eng)
SoC Power Design Engineer (Engineer - Staff Eng)

Qualcomm • San Diego (CA)

On-site
USD 140,000 - 210,000
Connectivity Project Engineer, Principal
Connectivity Project Engineer, Principal

Qualcomm • San Diego (CA)

On-site
USD 192,000 - 288,000
Connectivity Project Engineer, Principal
Connectivity Project Engineer, Principal

Socket.dev • San Diego (CA)

On-site
USD 192,000 - 288,000
Data Center SoC Power & Limits Architect
Data Center SoC Power & Limits Architect

Qualcomm • Austin (TX)

On-site
USD 164,000 - 246,000