Innovative Silicon IP Validation Specialist

3 weeks ago


Bengaluru, Karnataka, India myGwork Full time

This is a role with myGwork, an inclusive employer and member of the LGBTQ+ business community. We are seeking a skilled SoC Emulation Engineer to join our team.

About Us

Amazon Lab126 revolutionized reading with the Kindle family of products and reimagined user experience through Echo and Alexa. We want you to help us build on the success of our first generation of ML accelerator at edge.

About the Role

We are looking for an SoC Validation Engineer to enable pre-silicon and post-silicon validation verification of next-generation SoCs on multiple platforms such as emulation, prototyping, and early silicon. You will develop and execute test plans, design test environments, and help build emulation and prototype models while working closely with architects, RTL designers, SoC, and software development teams.

Key Responsibilities
  • Develop and execute test plans for pre-silicon and post-silicon validation verification
  • Design test environments and help build emulation and prototype models
  • Work closely with architects, RTL designers, SoC, and software development teams
BASIC QUALIFICATIONS
  • Bachelor's degree or higher in EE, CE, or CS
  • 3+ years' experience in pre-silicon verification using SystemVerilog/UVM
  • 3+ years' experience in post-silicon validation
  • Very strong problem-solving, debug, and analysis, and automation skills
  • Experience with verification and validation of complex SOCs
  • Solid grasp of concepts of HW/SW interface
  • Strong programming skills (assembly, C, Perl/Python)
  • Firsthand experience with silicon bringup, complex system debug, or bare-metal programming
PREFERRED QUALIFICATIONS
  • Experience in a full development cycle from pre-silicon verification to silicon bringup
  • MS or PhD in Computer Science, Electrical Engineering, or related field
  • Experience with ARM and various DSP ISA
  • Experience with SOC fabrics, memory controllers, and SOC peripherals
  • Experience with machine learning, computer vision, or robotics
  • Excellence in technical communication with peers and non-technical cohorts

Estimated salary: $120,000 - $180,000 per year.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.



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