Sr. EMIR 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 Sr. EMIR Engineer, you’ll contribute to the EMIR sign-off of our SoCs and help maintain a high bar on quality.

We’re searching for an experienced EMIR engineer with a proven track record of handling challenges at scale. In this role, you’ll be working directly with architects, designers, verification engineers, power integrity engineers and physical design experts - defining best practices in power grid design, developing test cases & vectors to model demand currents accurately, modeling & signing-off EMIR taking into account board and package impact, advancing the state-of-the-art in EMIR analysis and modeling.


Key job responsibilities
* Design & analyze power grids
* Setup flows for EMIR analysis
* Run EMIR analysis for large subsystems, SoCs
* Partner with EDA tool vendors to develop / evaluate new methodologies for EMIR analysis
* Develop and maintain dashboards for EMIR rollups
* Work with designers, architects, Verification engineers and Physical Design engineers to develop vectors for IR analysis, Thermal analysis and power estimation

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

* Design and evaluate power grids
* Working with designers, architects and verification engineers to come up with worst-case vectors for power and IR analysis
* Root cause causes of low annotation or low switching coverage with vectors
* Develop & maintain dashboards to track EMIR status
* Root cause causes of IR drop and suggest solutions to fix
* Combine IR analysis of SoC with IR at board and package level (concurrent IR analysis)
* Do post-silicon power measurements and correlate with simulation.
* Innovate on ways to model VR, board and package impact on voltage drop more accurately.
* Partner with EDA tool vendors to develop / evaluate new methodologies for EMIR analysis



About the team
We are a start-up like team where no-one says "this is not my job" and you won't find anyone telling you to stay in your lane. This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. We encourage collaboration and teamwork with multiple teams and engineers including architects, RTL designers, Verification engineers, , Physical Design engineers, Emulation engineers and software engineers.

Basic Qualifications

- 5+ years of ASIC implementation, synthesis, STA and physical design in deep sub-micron nodes (16nm or smaller) experience
- BS + 6yrs or MS + 5yrs or PhD + 3yr in EE/CS
- Expert on EMIR analysis tools like Redhawk-SC or Voltus or similar
- Deep, circuit-level understanding of power, EM and IR
- Ability to give feedback to RTL designers and Physical Designers on how to reduce IR
- Highly proficient with scripting language (Tcl, Perl, Python or similar)
- Good understanding of Physical Design, EM/IR, Power Integrity, and Thermal at the die, package, board, and server level

Preferred Qualifications

- Familiarity with Make or similar for automation of EMIR rollups
- Experience with RTL design (System verilog)
- Experience with PnR tools (FusionCompiler or Innovus)
- Familiarity with Power analysis tools (PrimePower or similar)
- Familiarity with timing analysis tools (PrimeTime or similar)
- Some experience with lab equipment and capable of doing lab power analysis

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
USA, TX, Austin - 159,200.00 - 215,300.00 USD annually