Demo

Sr. Staff Systems Design Engineer - (AI/ML System Validation Lead)

Advanced Micro Devices, Inc
San Jose, CA Full Time
POSTED ON 12/31/2025
AVAILABLE BEFORE 3/17/2026


WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. 

AMD together we advance_




THE ROLE:

We are looking for a dynamic, energetic Silicon Validation Lead to join our growing team in AI Group. In this role, the individual will be responsible for architecting and developing scalable silicon validation framework,defining kernel dataflow architecture, defining block level and system level tests for AI Engine (AIE) block for edge and cloud based platforms, ML model performance evaluation on AI Engine based silicon platforms, AIE instruction modeling, developing application specific kernels for AIE block, defining block and system level performance, developing performance tests, and test bring-up and debug on pre/post silicon platforms. This role expects the individual to drive the test plan, validation infrastructure, test bring-up and debug, driving automation framework and working with AIE architecture and design team to ensure functional and performance requirements are signed off. The team is dynamic and fast paced offering each of its members tremendous personal opportunity to grow their knowledge and skills in complex problem solving, product development and system engineering.

  

THE PERSON:

As a Silicon Validation Lead, you will drive innovative, scalable, and automated silicon validation framework for AMD’s AI Engine block. In this position, your  expertise on silicon validation of AI processors will be necessary towards product development, definition, and root cause resolution.

 

KEY RESPONSIBILITIES:

  • Define test plan, validation environment for VLIW based AI Engine processor architecture.
  • Bring up emerging ML models based on CNN, transformers and characterize performance.
  • Develop and validate VLIW-based processor systems on both pre-Silicon and post-Silicon platforms based on different use case applications
  • Develop application specific reusable kernel code for AI Engine processors.
  • Bring up test suite on pre/post silicon platform.
  • Debug test failures on pre/post-silicon platform using trace interface, waveform viewer.
  • Solve challenging technical problems with complex SoC based systems that integrate robust algorithms and features.
  • Lead the discussion in the AI Engines Technical Solutions Team forum.
  • Be involved in all aspects of integrated product development, including design, prototyping, implementation, testing, and product demonstration.
  • Provide feedback on architecture, use cases, IP design, tools, and documentation.
  • Create reference model using Matlab/Python libraries and verify functionality of kernels

 

PREFERRED EXPERIENCE:

  • Proficiency in pre and post silicon validation of VLIW based vector processors.
  • Proficiency in defining test plan, coverage metric for VLIW based vector processors.
  • Experience in pre/post silicon validation of AI processors
  • Experience in performance validation of ML models for edge and cloud based platforms.
  • Proficiency in C based kernel development for distributed processors.
  • Excellent C/C coding skills
  • Experience in processor performance and memory performance characterization
  • Experience in signal and power integrity, step load characterization
  • Experience in creating system designs with compute engine, NOC and DDR/HBM
  • Experience in system debug using Lauterbach, gdb, Valgrind and other debug tools is required.
  • Experience in TensorFlow, PyTorch, Keras is a plus.
  • Experience with static and dynamic power characterization is a plus.
  • Familiarity with VLIW SIMD vector processor architecture,
  • Familiarity in Matlab signal processing library and 5G toolbox is a plus.
  • Strong communication skills.

 

ACADEMIC CREDENTIALS:

  • BS with years experience or MS with years of experience 
  • PhD in Electrical Engineering or Computer Engineering with years of experience

 

LOCATION:

San Jose, Ca.

 

#LI-JT1




At AMD, your base pay is one part of your total rewards package.  Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here.

 

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Salary.com Estimation for Sr. Staff Systems Design Engineer - (AI/ML System Validation Lead) in San Jose, CA
$141,367 to $165,854
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