Back to jobs

SoC Memory Subsystem Architect

Sunnyvale,CA

Do you want to be part of the AI revolution? Do you want to think out of the box, thriving on challenges in AI industry and have the desire to solve them? Do you want to work with a world-class team to explore the fast-growing AI hardware opportunities and impact on AI industry?

We’re looking forward to you joining us to collaborate, contribute, and revolutionize AI silicon and system.

Description 

We are looking for a world-class Memory Subsystem Architect to join our SoC team at Baidu’s Sunnyvale office. The successful candidate will be a motivated self-starter who will thrive in this highly technical environment. Your job responsibilities as a Memory Subsystem Architect will be providing technical leadership through all phases of Baidu’s AI SoC development, but primarily focused on unified memory space architecture design for Baidu AI accelerator SoC. The working goal is to build unified memory space for thousands of accelerators from user's perspective.

Developing architecture and micro-architecture to improve the state-of-the-art AI SoC memory system. Explore and evaluate the architectural design choices in SoC fabrics, system caches, system coherency, and MMUs.

Work with software and SoC design team to define architecture and build unified memory space system across distributed AI training system.

Work with Hardware design, verification, emulation, and validation teams to build and test the hardware architecture, performance and functionality.

Participate in performance simulation of features to improve memory subsystem efficiency. Analyzing benchmarks, application workloads and performance simulation results to identify areas for microarchitecture optimizations.

Debug performance and functional issues with high-level models, RTL simulation, and silicon.

Qualifications

  • 10+ years of experience in Silicon architecture or IP design mainly focusing on memory subsystem.
  • Strong understanding of distributed AI training system's requirement on SoC memory subsystem.
  • Demonstrated experience in HW digital design and understanding of CPU/HW Accelerators and/or Peripheral design.
  • Familiarity with SW and Operating system practices and requirements on memory system.
  • Experience in System Performance analysis and debug in pre and/or Post-Silicon environments.
  • Solid background of System interconnect, System MMUs, Caches and Memory Technologies (e.g. HBM, GDDR, DDR and LPDDR4/5).
  • Experience with data analysis using Excel, Perl, Python etc.
  • Master or PhD in Electrical or Computer Engineering.
  • Excellent communication skills in both English and Chinese.

Culture Fit:

  • Mission alignment: If you want to be part of a team to accomplish this great mission, we will provide you the best possible platform to do that.
  • Self-directed: We work best with people that are driven, motivated, and aspire to greatness.
  • Hungry to learn: We are eager to see you learn new skills and grow.
  • Team orientation: We work in small, fast-moving teams. We watch out for each other and go after big goals together as a team.

#LI-DNI

 

Create a Job Alert

Interested in building your career at Baidu USA? Get future opportunities sent straight to your email.

Apply for this job

*

indicates a required field

Resume/CV*

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf

Select...
Select...
Select...
Select...
Select...
Please provide proof of your citizenship if you are not US citizenship or permanent residentship

Accepted file types: pdf, doc, docx, txt, rtf

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Baidu USA’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Select...
Select...
Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Select...