Senior PD Methodology Engineer (Cloud Scale ML)

TL;DR

Senior PD Methodology Engineer (Cloud Scale ML): Designing and implementing custom circuits and IPs for machine learning acceleration SOCs with an accent on silicon yield, performance, and thermal/power analysis. Focus on driving pre-silicon simulation correlation to post-silicon analysis and qualifying IPs for state-of-the-art ML hardware.

Location: Onsite in Cupertino, California, USA

Salary: $183,000–$247,600 USD annually

Company

hirify.global is Amazon AI's Machine Learning Acceleration (MLA) team, developing Inferentia and Trainium SOCs for AI workloads.

What you will do

• Design and implement custom cells / IP.
• Develop and run characterization flows for custom cells / IP developed.
• Own integration and post-silicon qualification of IPs like PLL, PCIE, UCIE, HBM, sensors/monitors.
• Develop scripts to automate analysis and collect reports.
• Develop test plans and perform lab measurements to correlate with simulation data.
• Collaborate with physical design, product, and hardware engineers to improve silicon yield and performance.

Requirements

• 8+ years of experience in ASIC implementation, synthesis, STA, and physical design in deep sub-micron nodes (16nm or smaller).
• BS degree in computer science, computer engineering, or a related field.
• Experience working closely with physical design teams to develop highly optimized ASICs with excellent power, performance, and area.
• Experience in Python, Perl, or another scripting language.
• Understanding of other sign-off activities (ir/em, physical verification, timing closure, DFT).
• Expertise on circuit level analysis using tools like SPICE / SPECTRE.
• Expertise in interconnect and transistor fundamentals in deep sub-micron processes.

Nice to have

• Master's degree or Ph.D. degree in Electrical Engineering or related field.
• Experience in RTL coding and debug, as well as performance, power, and area analysis and trade-offs.
• Experience with modern ASIC/FPGA design and verification tools.
• Experience with SOC bring-up and post-silicon validation.

Culture & Benefits

• Inclusive team culture with employee-led affinity groups and ongoing learning experiences.
• Emphasis on work-life harmony and flexibility.
• Mentorship and career growth resources within Amazon.
• Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.
• Opportunity to be a highly-valued member of a startup-like team.