Annapurna Labs (U.S.) Inc.
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Sr. EMIR Engineer, Annapurna Labs - Cloud Scale Machine Learning

Pay
$185,200 – $287,500 per year
Location
Cupertino, CA
Listed
3 days ago

About the role

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.

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

Additional information

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Pay and benefits

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.

  • USA, CA, Cupertino - 213,000.00 - 287,500.00 USD annually
  • USA, CA, San Diego - 185,200.00 - 250,000.00 USD annually
  • USA, TX, Austin - 185,200.00 - 250,000.00 USD annually

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.

Read the original posting

From Annapurna Labs (U.S.) Inc.'s careers page, first listed on Rolev.ai on November 6, 2026. Rolev.ai is not the employer.

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Common questions

What is the salary for the Sr. EMIR Engineer, Annapurna Labs - Cloud Scale Machine Learning role at Annapurna Labs (U.S.) Inc.?

The Sr. EMIR Engineer, Annapurna Labs - Cloud Scale Machine Learning posting at Annapurna Labs (U.S.) Inc. states compensation of $185,200 – $287,500 per year. Final pay may depend on location, experience, and interview evaluation on Annapurna Labs (U.S.) Inc.'s official career site.

Where is the Sr. EMIR Engineer, Annapurna Labs - Cloud Scale Machine Learning job at Annapurna Labs (U.S.) Inc. located?

This Sr. EMIR Engineer, Annapurna Labs - Cloud Scale Machine Learning position at Annapurna Labs (U.S.) Inc. is located in Cupertino, CA. Always check Annapurna Labs (U.S.) Inc.'s application page for specific state eligibility or relocation policies.

How do I apply for the Sr. EMIR Engineer, Annapurna Labs - Cloud Scale Machine Learning position at Annapurna Labs (U.S.) Inc.?

This listing links directly to Annapurna Labs (U.S.) Inc.'s application page. You can apply directly on Annapurna Labs (U.S.) Inc.'s site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.