Emulation Engineer, AWS Annapurna Labs

Amazon; Cupertino (CA); On-site; USD 100,000 - 160,000; Full time

Job summary

Join a forward-thinking company as an Emulation Engineer, where you'll play a crucial role in designing and optimizing hardware for cutting-edge cloud server infrastructure. You'll collaborate with interdisciplinary teams to develop emulation capabilities using advanced programming languages and tools, ensuring high-quality designs that meet customer needs. This exciting position offers the chance to work on the next generation of Machine Learning Accelerators, pushing the boundaries of technology in a dynamic and inclusive workplace. If you are passionate about innovation and thrive in a collaborative environment, this opportunity is perfect for you.

Qualifications

• Experience in developing functional specifications and verification plans.
• Strong communication skills to articulate complex technical problems.

Responsibilities

• Design emulation capabilities using System Verilog, C/C++, and Python.
• Optimize build and run times of emulation models.
• Work with SoC teams to execute system flows on the emulation framework.

Skills

System Verilog

C++

Python

Shell scripts

Emulation tool chain

Bash

TCL

Debugging

Education

Master's degree in electrical engineering

Master's degree in computer engineering

Tools

Zebu

Cadence

Veloce

Job description

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 a passionate 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

1. Design emulation capabilities in system verilog/C/C++/Python/Shell scripts to facilitate system validation flows
2. Develop scalable compile flows targeting project requirements
3. Knowledge of end-to-end emulation compilation flows involving front end and back end synthesis
4. Familiar with using emulation tool chain from Zebu, Cadence or Veloce
5. Develop System Verilog modules required for integrating with standard xtors
6. Experience in run time architecture of any emulation framework.
7. Develop run time framework in C++ to execute compiled emulation models
8. Optimize build and run times of emulation models.
9. Automate system flow execution in emulation using bash/python/tcl etc.
10. Work with SoC teams to learn about system flows and execute them on emulation framework
11. Debug RTL failures associated with chip functionality
12. Proficient with using various emulation debug technologies
13. Knowledge of using gdb and other techniques to debug software failures
14. Work with vendors to ensure emulation tool chain is up to date with latest technologies

BASIC QUALIFICATIONS

Experience in developing functional specifications, design verification plans and functional test procedures

PREFERRED QUALIFICATIONS

Master's degree in electrical engineering, computer engineering, or equivalent
Experience working with interdisciplinary teams to execute product design from concept to production
Strong communication skills that helps effectively articulate complex technical problems and collaborate with different teams
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.