SoC Power Engineer, Annapurna Labs - Cloud Scale Machine Learning

Amazon; Austin (TX); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon's Machine Learning Acceleration (MLA) team in Austin seeks a SoC Power Engineer to model and estimate power from RTL to netlist, and drive power-reduction strategies for Inferentia and Trainium accelerators.

You will work with architects, designers, verification, software, and Physical Design; develop power analysis dashboards; provide RTL feedback; and ensure power integrity across die, package, and server levels.

Qualifications

• Bachelor's degree in EE/CS or related field.
• BS + 4yrs or MS + 2yrs or PhD + 1yr in EE/CS.
• Experience with power analysis tools like PrimePower, PowerArtist or similar.
• Circuit-level understanding of chip power.
• Ability to give feedback to RTL designers and Physical Designers on how to reduce power.
• 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.

Responsibilities

• Responsible for full chip power analysis & modelling at various stages of design (RTL to gate level netlist).
• Develop and maintain dashboards for power rollups.
• Work with designers, architects, Verification engineers and Physical Design engineers to develop vectors for IR analysis, Thermal analysis and power estimation.
• Give feedback to designers and architects on how to reduce power.
• Make power measurements in the lab and correlate back to simulations.
• Work with Emulation engineers to model chip-level power consumption.

Skills

Power analysis

RTL feedback

Scripting: Tcl/Python

Physical Design knowledge

EM/IR understanding

Thermal analysis

Education

Bachelor's degree in EE/CS

Master's degree in EE/CS

Tools

PrimePower

PowerArtist

Redhawk

Voltus

Zebu Emulator

Job description

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 SoC Power Engineer, you’ll contribute to the project at the ground level by modeling and estimating power at every stage of the design from early RTL to final netlist and by driving ways to reduce power consumption of our machine learning accelerators.

We’re searching for an experienced SoC Power engineer with a background in Power analysis with a proven track record of handling challenges at scale. In this role, you’ll be working directly with architects, designers, verification engineers, software teams, and Physical Design experts - defining best practices to reduce power and model power consumption with high accuracy.

Key job responsibilities

• Responsible for full chip power analysis & modelling at various stages of design (RTL to gate level netlist)
• Develop and maintain dashboards for power rollups
• Work with designers, architects, Verification engineers and Physical Design engineers to develop vectors for IR analysis, Thermal analysis and power estimation
• Give feedback to designers and architects on how to reduce power
• Make power measurements in the lab and correlate back to simulations.
• Work with Emulation engineers to model chip-level power consumption

Basic Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields
• BS + 4yrs or MS + 2yrs or PhD + 1yr in EE/CS
• Experience with power analysis tools like PrimePower, PowerArtist or similar
• Circuit-level understanding of chip power
• Ability to give feedback to RTL designers and Physical Designers on how to reduce power
• 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

• Master's degree in Computer Science, Computer Engineering, or Electrical Engineering
• Familiarity with Make or similar for automation of power rollups
• Experience with RTL design (System verilog)
• Familiarity with EMIR analysis tools (Redhawk / Voltus)
• Experience with Zebu Emulator platform

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.

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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 - 157,300.00 - 212,800.00 USD annually

USA, TX, Austin - 136,000.00 - 184,000.00 USD annually

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