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. In this role, you will define, develop and execute the methodologies to drive system validation flows that cover the ML chip design and verification requirements.

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
Design emulation capabilities in system verilog/C/C++/Python/Shell scripts to facilitate system validation flows
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 bus functional prototype models using DPI programming in system verilog/C/C++
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

A day in the life
As a senior emulation engineer, you have an unique opportunity to define and develop emulation driven end-to-end system validation methodologies.
You would be working closely with our vendor, software, firmware, architecture, design and verification teams to design and execute system validation flows.

Basic Qualifications

- 8+ years of creating and maintaining automation frameworks for Post-Silicon Flow experience
- Bachelor's degree in Electrical Engineering or a related field
- Experience in C/C++ and system Verilog coding
- Experience building test automation frameworks and tools
- Experience in developing functional specifications, design verification plans and functional test procedures
- Experience automating system flows to execute emulations using bash/python/tcl

Preferred Qualifications

- Master's degree or Ph.D. degree in Electrical Engineering or related field
- Experience in RTL coding and debug, as well as performance, power, area analysis and trade-offs
- Experience with modern ASIC/FPGA design and verification tools
- Experience with SOC bring-up and post-silicon validation

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Cupertino - 183,000.00 - 247,600.00 USD annually