4 days old

SoC DV Manager, AWS Machine Learning Acceleration

Austin, TX 78701


Job summary
Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. AWS has the broadest and deepest set of machine learning and AI services for our customers€™ businesses. We are seeking an experienced Verification Manager to verify the next generation of our cloud server platforms. Our success depends on our world-class infrastructure; we€™re handling massive scale and rapid integration of emergent technologies.

As a member of the Cloud-Scale Machine Learning Acceleration team you€™ll be responsible for the overall verification of SOCs within our data centers, including technologies like AWS Inferentia and Trainium - machine learning inferencing and training products designed to deliver high performance computation at low cost.

You€™ll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you€™ll work with thought-leaders in multiple technology areas. You€™ll have high standards for yourself and everyone you work with, and you€™ll be constantly looking for ways to improve our products' performance, quality and cost. We€™re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.

Key job responsibilities

  • Build, lead, and mentor an ASIC verification team
  • Comprehend and coordinate customer requirements into verification plans and project schedules
  • Own delivery of verified ASIC features to downstream emulation and software teams
  • Work cross functionally with stakeholders in Architecture, Design, Software, and Validation to ensure delivery of high quality HW/SW systems to AWS data centers
  • Work closely with unit & substem verification to integrate reusable components into SoC environments
  • Continuously help improve DV methodology and design automation processes
  • Provide technical leadership through personal example, mentorship, and strong teamwork

A day in the life
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon€™s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn€™t about how many hours you spend at home or at work; it€™s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we€™re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

About the team
The Amazon Annapurna Labs team is responsible for building innovation in silicon and software for AWS customers. Annapurna is at the forefront of innovation by combining cloud scale with the world€™s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. Our team is focused on delivering the best in-class AWS cloud infrastructure solutions in machine learning with AWS Neuron, Inferentia and Trainium ML Accelerators.


  • Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Computer Science or equivalent
  • 10+ years of practical semiconductor ASIC verification experience, including end-to-end verification ownership of major SOC blocks
  • 5+ years experience in SystemVerilog-based UVM/OVM or related object-oriented, coverage driven ASIC verification methodology
  • 3+ years experience managing a team of design and/or verification engineers
  • Experience with successful SOC bring-up and post silicon validation
  • Experience building and mentoring teams, including recruiting and resource planning
  • Previous involvement in planning and development of verification methodologies
  • Evidence of successful tapeouts as an owner of a major design block and/or as an overall SoC lead
  • Proficient in verification methodologies and industry standard EDA tools


  • Previous leadership experience in a start-up company or start-up team
  • Previous ownership of multiple testbenches at the unit, subsytem, and SOC levels
  • Experience crafting portable and scalable UVM components for use at multiple levels
  • Debug experience on emulation platforms such as Synopsys Zebu and Cadence Palladium
  • Meets/exceeds Amazon€™s leadership principles requirements for this role
  • Meets/exceeds Amazon€™s functional/technical depth and complexity for this role

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.


Posted: 2022-05-13 Expires: 2022-06-12

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SoC DV Manager, AWS Machine Learning Acceleration

Austin, TX 78701

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