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

Job in Cupertino, Santa Clara County, California, 95014, USA
Listing for: Amazon
Full Time position
Listed on 2026-02-20
Job specializations:
  • Engineering
    Electronics Engineer, Systems Engineer, Hardware Engineer, Electrical Engineering
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that power AI workloads worldwide. As a Circuit & Design Analysis engineer, you’ll collaborate with product, signal & power integrity, and physical design teams to drive improvements in silicon yield and performance.

Key Job Responsibilities
  • Design and implement custom cells/IP.
  • Develop and run characterization flows for custom cells/IP.
  • Own integration and post‑silicon qualification of IPs such as PLL, PCIE, UCIE, HBM, sensors/monitors.
  • Develop scripts to automate analysis runs and report collection.
  • Design test plans and perform lab measurements to correlate with simulation data.
  • Collaborate with other design engineers, product engineers, hardware engineers, and RTL/Arch teams.
A Day in the Life
  • Evaluate third‑party IPs (e.g., sensors, process monitors).
  • Characterize custom IPs such as ganged buffers and specialized logic cells.
  • Work with designers and architects to identify pain points and propose custom solutions.
  • Conduct post‑silicon quality checks for key IP like PLLs, UCIE/PCIE, HBM.
  • Perform post‑silicon power measurements and correlate with simulation data.
Basic Qualifications
  • 8+ years of ASIC implementation, synthesis, STA and physical design in deep sub‑micron nodes (16 nm or smaller).
  • BS degree in computer science, computer engineering, or related field.
  • Experience working closely with physical design teams to develop optimized ASICs with excellent power, performance, and area.
  • Experience in Python, Perl, or another scripting language.
  • Understanding of sign‑off activities (ir/em, physical verification, timing closure, DFT).
  • Expertise on circuit‑level analysis using tools like SPICE / SPECTRE.
  • Expertise in interconnect & transistor fundamentals in deep sub‑micron processes.
Preferred Qualifications
  • Master's degree or Ph.D. in Electrical Engineering or related field.
  • Experience in RTL coding and debug, as well as performance, power, area analysis and trade‑offs.
  • Experience with modern ASIC/FPGA design and verification tools.
  • Experience with SOC bring‑up and post‑silicon validation.

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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