Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning

Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today’s AI workloads in datacenters all around the world. As a Circuit & Design Analysis engineer, you’ll collaborate with multiple teams to drive improvements in silicon yield & performance - it’s still Day One here at Amazon!

We’re searching for an experienced Circuit Design & Analysis engineer with a background in custom circuit design & analysis, system level thermal & power analysis with a proven track record of handling challenges at scale. In this role, you’ll be working directly with product engineers, signal & power integrity engineers and physical design experts - defining best practices, driving correlation of pre-silicon simulation of thermal & power integrity to post silicon analysis and developing custom circuits that help raise the bar in implementing state-of-the-art machine learning hardware.

Key job responsibilities
- Design and implement custom cells / IP.
- Develop & run characterization flows for custom cells / IP developed.
- Own integration & post-silicon qualification of IPs like PLL, PCIE, UCIE, HBM, sensors/monitors.
- Develop scripts to automate running analysis and collect reports.
- Develop test-plan and perform measurements in the lab to correlate with simulation data.
- Be a highly-valued member of our start-up like team through excellent collaboration and teamwork with other physical design engineers, product engineers, hardware engineers as well as with the RTL/Arch. teams.

A day in the life
Depending on the state of the project, you may find yourself working on the following:

- Evaluate IPs (like sensors, process monitors) from a 3rd party
- Develop an characterize custom IPs like ganged buffers, custom logic cells for specialized operations (like MACs)
- Work with designers and architects to identify pain-points and areas where custom solutions can improve PPAS
- Do post-silicon quality checks for key IP like PLLs, UCIE/PCIE, HBM
- Do post-silicon power measurements of jitter, sensor calibration, power and correlate with simulation



About the team
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.