Description

　　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. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries.

　　As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies.

　　We are seeking an experienced Emulation Engineer to build the next generation of our cloud server infrastructure using our emulation platform. You will work closely with various teams to determine the emulation platform requirements, models needed for functional testing and automation of various workflows. You will be delivering a state-of-the-art testbench, integrate the ViP components into the SoC and ensure a high quality of the design delivered to the customers. You will be developing a strong understanding of the product and continuously raise the bar to ensuring that emulation models are functionally correct and performant.

　　Join us in creating the most advanced Machine Learning Accelerators in the world!

　　Key job responsibilities

　　Develop scalable compile flows targeting project requirements

　　Knowledge of end to end emulation compilation flows involving front end and back end synthesis

　　Familiar with using emulation tool chain from Zebu, Cadence or Veloce

　　Develop System Verilog modules required for integrating with standard xtors

　　Experience in run time architecture of any emulation framework.

　　Develop run time framework in C++ to execute compiled emulation models

　　Optimize build and run times of emulation models.

　　Automate system flow execution in emulation using bash/python/tcl etc.

　　Work with SoC teams to learn about system flows and execute them on emulation framework

　　Debug RTL failures associated with chip functionality

　　Proficient with using various emulation debug technologies

　　Knowledge of using gdb and other techniques to debug software failures

　　Work with vendors to ensure emulation tool chain is up to date with latest technologies

　　About the team

　　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.

　　We are open to hiring candidates to work out of one of the following locations:

　　Austin, TX, USA | Cupertino, CA, USA

　　Basic Qualifications

　　Experience in developing functional specifications, design verification plans and functional test proceduresPreferred Qualifications

　　Master's degree in electrical engineering, computer engineering, or equivalent

　　Experience working with interdisciplinary teams to execute product design from concept to production

　　Experience with the project management of technical projects

　　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.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $114,300/year in our lowest geographic market up to $213,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.