AMD Job - 49204180 | CareerArc
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Company: AMD
Location: Singapore, Singapore
Career Level: Mid-Senior Level
Industries: Technology, Software, IT, Electronics

Description



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:

Be part of the world's most leading graphics accelerator team developing diagnostics applications for the functional and behavior verification of state-of-the-art graphics accelerators. This role will involve in designing the diagnostics architecture, crafting the verification plan, implementing the diagnostics applications, as well as analyzing and debugging the results.

 

The Person:

  • The candidate should be a hardworking self-starter, proactive, able to share ideas, and able to provide leadership.
  • Excellent knowledge of hardware/software integration and standard diagnostics design and development techniques.
  • Sophisticated developer in a complex software environment.
  • Exceptional problem-solving capabilities and data analysis skills.
  • Excellent communication skills.

Key Responsibilities:

  • The candidate would be responsible for planning, designing, developing, debugging, and optimizing functional and stress applications for machine learning and HPC hardware accelerators.
  • Collaborate with hardware architects and logic designers to solve functional issues, and customer support engineers to help resolve verification deficiencies.
  • Explore and adopt new or evolving diagnostics methodologies used in the industry to verify complex ASIC designs within intensive production schedules.
  • Work within existing verification infrastructure on currently active projects.
  • Participate in system-level verification planning.

Preferred Experience:

  • Candidate should have extensive relative experience in the diagnostics environments with emphasis on ASIC system-level verification.
  • Must have knowledge of machine learning (CNN, RNN, FNN, Transformer) and one of deep learning framework, i.e. Tensorflow, Pytorch, DirectML, etc.
  • Must have knowledge of HPC workload, i.e DGEMM, Linpack, FFT, etc.
  • Experience of cuDNN or ROCm development.
  • Experience of object-oriented programming in modern C++.
  • Strong software development skills on Linux and debug skills on hardware.
  • Standard diagnostics design and development techniques.
  • A proven understanding of machine learning accelerator architecture.
  • Experience on Linux Shell.
  • Experience on exploring and adopting new or evolving verification methodologies used in the industry to verify complex ASIC designs within aggressive, market-driven schedules.
  • Experience with source code control systems.
  • Knowledge of RTL design practices and tools is a plus.

Academic Credentials:

  • Bachelor's/Master's degree, in Electrical/Computer Engineering or Computer Science

Location:

Singapore

 

#LI-MM1 



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.


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