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Post-Silicon Validation Engineer

3 weeks ago


Bengaluru, Karnataka, India beBeeSilicon Full time
Job Description:

The ideal candidate will play a critical role in ensuring our custom silicon products meet quality standards and achieve production quality.

To accomplish this, the post-silicon validation engineer will interact with various teams to develop a deep understanding of software and firmware feature requirements. They will then create test cases to validate that the product meets specifications and contribute to overall deliverables.

Key Responsibilities:

  • Support weekly / bi-weekly BIOS and Driver releases working with SWQA leads.
  • Leverage prior experience to improve test coverage and quality of software / firmware components that implement AMD IPs CPU, Graphics, Multimedia, Display, Security etc
  • Automation first mindset and goes beyond call of duty identify way to bring in lean way of execution without compromising quality.
  • Managing internal and external stakeholders
  • Develop technical relationships with peers
  • Be accountable for software release testing on assigned programs.
  • Collaborate with QA and/or post-silicon validation communities within AMD to share ideas, get up to date with testing trends and implement best practices.

Required Skills and Qualifications:

  • Seasoned post-silicon validation engineer experienced in one or more domains - CPU, Graphics, Multimedia, Display, Security, NPU, and/or BIOS
  • Experience post-silicon validation on different OS platforms like Windows, Linux
  • Knowledge of x86, ARM and RISC V Architecture
  • Hardware board bring up and debugging.
  • Test Automation and Programming (Python, Perl, etc)
  • Structured communication and presentation.
  • Experience working in a fast paced matrixed and multi-site technical organization
  • Experience working directly with external customers and partners

Nice to Have Experience:

  • Continuous Integration and continuous delivery (Jenkins, Hudson, Azure etc)
  • Configuration management and tools (GitHub, Gerrit etc)
  • Applied/or leveraged AI / ML tools for improving execution efficiency and productivity improvements.