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Sr. SoC Power Engineer, Annapurna Labs - Cloud Scale Machine LearningAmazonCupertino, California, United States
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Sr. SoC Power Engineer, Annapurna Labs - Cloud Scale Machine Learning

Amazon
  • US
    Cupertino, California, United States
  • US
    Cupertino, California, United States

Über

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. 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 Responsibilities
Full chip power analysis & modeling 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 + 6 years or MS + 5 years or PhD + 3 years in EE/CS
Expert on power analysis tools like PrimePower, PowerArtist or similar
Deep, circuit‑level understanding of chip power
Ability to give feedback to RTL designers and physical designers on how to reduce power
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
Some experience with lab equipment and capable of doing lab power analysis
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.
USA, CA, Cupertino – $183,000.00 – $247,600.00 USD annually
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  • Cupertino, California, United States

Sprachkenntnisse

  • English
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