Sr. Systems Design Engineer

Apr 12, 2024
Markham, Canada
... Not specified
... Senior
Full time
... Office work


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. 

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Sr. Datcenter GPU Validation Engineer

 

THE ROLE:

The Datacenter Graphics and Accelerated Computing Validation Team is looking for a dynamic and energetic engineer to join our growing team. As a key contributor to the bring-up and pre- and post-silicon validation of AMD’s Datacenter GPU Multi-core Graphics domain (GFx, VCN, Cache Coherent), and working with cross-functional teams to ensure functionality and quality of SOC designs. Graphics sub-system is at heart of complex technology that delivers industry leading Datacenter solutions for Machine Learning (ML), and High-Performance Computing (HPC), and a validation engineer is responsible to run and debug industry-standard Workloads Apps (Healthcare, Genomics, Weather, Finance, Oil & Gas, etc.). The validation team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development.

 

THE PERSON:

An experienced self-starter with the ability to execute complex test plans independently and collaborate with cross-function teams to debug and resolve issues. As a valued team member, you are expected to lead by example, and mentor junior engineers. You should be hands-on with lab tools and comfortable working in a lab environment.

 

KEY RESPONSIBILITIES:

 

Graphics Domain Validation Engineer’s responsibility includes all aspects of System validation from planning & pre-silicon emulation to post-silicon bring-up, validation, and debug. The focus will be on writing new test plans, developing bare-metal and stack-enabled unit tests & exercisers for functional and stress coverage, tune Workloads to validate various datapaths, and execute test cases on standalone silicon boards and server platforms, by targeting system-level features and operations.

 

Responsibilities include:

  • Develop test plans and code test cases for Graphics domain feature enablement for system-level features
  • Develop and execute test cases for unit-level functional and stress scenarios
  • ML/AI Application enablement for test plan execution 
  • Build automation and regression scripts for faster turn-around time
  • Develop re-usable, scalable, collaborative test approach by interfacing with HW, FW and Design teams
  • Able to work in fast paced environment with real-time problem-solving skills and critical thinking
  • Able to comfortable working in lab environment

 

 IDEAL CANDIDATE

  • Significant experience in SoC validation and debug
  • Validation or Verification experience of GPU cores, GFx sub-system and Cache coherency
  • Hands-on experience in using industry standard JTAG, I2C, Tester and Lab tools
  • Strong programming skills (C/C++, Python) and comfortable working on Linux or Windows platforms
  • Strong analytical and collaborative skills for test case creation and debug
  • Strong Linux and Docker experience
  • Familiarity with common AI/ML models
  • Experience in developing test cases for Machine Learning, High Performance Computing
  • Able to work as a team and work efficiently in a dynamic environment and on multiple projects

 

ACADEMIC CREDENTIALS:

  • Bachelors or Masters in Electrical or Computer Engineering

#LI-CC2




Benefits offered are described:  AMD benefits at a glance.

 

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.

Benefits offered are described:  AMD benefits at a glance.

 

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.

Sr. Datcenter GPU Validation Engineer

 

THE ROLE:

The Datacenter Graphics and Accelerated Computing Validation Team is looking for a dynamic and energetic engineer to join our growing team. As a key contributor to the bring-up and pre- and post-silicon validation of AMD’s Datacenter GPU Multi-core Graphics domain (GFx, VCN, Cache Coherent), and working with cross-functional teams to ensure functionality and quality of SOC designs. Graphics sub-system is at heart of complex technology that delivers industry leading Datacenter solutions for Machine Learning (ML), and High-Performance Computing (HPC), and a validation engineer is responsible to run and debug industry-standard Workloads Apps (Healthcare, Genomics, Weather, Finance, Oil & Gas, etc.). The validation team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development.

 

THE PERSON:

An experienced self-starter with the ability to execute complex test plans independently and collaborate with cross-function teams to debug and resolve issues. As a valued team member, you are expected to lead by example, and mentor junior engineers. You should be hands-on with lab tools and comfortable working in a lab environment.

 

KEY RESPONSIBILITIES:

 

Graphics Domain Validation Engineer’s responsibility includes all aspects of System validation from planning & pre-silicon emulation to post-silicon bring-up, validation, and debug. The focus will be on writing new test plans, developing bare-metal and stack-enabled unit tests & exercisers for functional and stress coverage, tune Workloads to validate various datapaths, and execute test cases on standalone silicon boards and server platforms, by targeting system-level features and operations.

 

Responsibilities include:

  • Develop test plans and code test cases for Graphics domain feature enablement for system-level features
  • Develop and execute test cases for unit-level functional and stress scenarios
  • ML/AI Application enablement for test plan execution 
  • Build automation and regression scripts for faster turn-around time
  • Develop re-usable, scalable, collaborative test approach by interfacing with HW, FW and Design teams
  • Able to work in fast paced environment with real-time problem-solving skills and critical thinking
  • Able to comfortable working in lab environment

 

 IDEAL CANDIDATE

  • Significant experience in SoC validation and debug
  • Validation or Verification experience of GPU cores, GFx sub-system and Cache coherency
  • Hands-on experience in using industry standard JTAG, I2C, Tester and Lab tools
  • Strong programming skills (C/C++, Python) and comfortable working on Linux or Windows platforms
  • Strong analytical and collaborative skills for test case creation and debug
  • Strong Linux and Docker experience
  • Familiarity with common AI/ML models
  • Experience in developing test cases for Machine Learning, High Performance Computing
  • Able to work as a team and work efficiently in a dynamic environment and on multiple projects

 

ACADEMIC CREDENTIALS:

  • Bachelors or Masters in Electrical or Computer Engineering

#LI-CC2

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