Amazon Web Services (AWS) · 2 weeks ago
Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning
Austin, TX
Full-time
Onsite
Senior Level
$143K/yr - $248K/yr
6+ years expAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. As a Sr. PD Methodology Engineer, you will support the development and management of innovative cloud services and collaborate with various engineering teams to enhance silicon yield and performance in machine learning hardware.
Agentic AIConsultingDevOpsInformation TechnologySoftwareWeb Development
Responsibilities
Design and implement custom cells / IP
Develop & run characterization flows for custom cells / IP developed
Own integration & post-silicon qualification of IPs like PLL, PCIE, UCIE, HBM, sensors/monitors
Develop scripts to automate running analysis and collect reports
Develop test-plan and perform measurements in the lab to correlate with simulation data
Be a highly-valued member of our start-up like team through excellent collaboration and teamwork with other physical design engineers, product engineers, hardware engineers as well as with the RTL/Arch. teams
Evaluate IPs (like sensors, process monitors) from a 3rd party
Develop an characterize custom IPs like ganged buffers, custom logic cells for specialized operations (like MACs)
Work with designers and architects to identify pain-points and areas where custom solutions can improve PPAS
Do post-silicon quality checks for key IP like PLLs, UCIE/PCIE, HBM
Do post-silicon power measurements of jitter, sensor calibration, power and correlate with simulation
Qualification
Required
BS + 8yrs or MS + 6yrs or PhD + 3yr in EE/CS
Expertise on circuit level analysis using tools like SPICE / SPECTRE
Expertise in interconnect & transistor fundamentals in deep sub-micron processes
Understanding of ASIC Physical Design from RTL-to-GDSII
Understanding of other sign-off activities (ir/em, physical verification, timing closure, DFT)
3+ years of scripting experience with Tcl, Perl or Python
Preferred
Experience in advanced nodes - 5nm or below
Expertise with Thermal & IR analysis tools (examples: Ansys Redhawk_SC-ET, Cadence Voltus & Celsius)
Experience with timing of IO interfaces like DDR, HBM, PCIe, Die-to-Die etc
Experience with using lab equipment like oscilloscopes, logic analyzers
Leadership and mentoring skills
Meets/exceeds Amazon's leadership principles requirements for this role
Meets/exceeds Amazon's functional/technical depth and complexity for this role
Benefits
Equity
Sign-on payments
A full range of medical, financial, and/or other benefits
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
10001+ employees
H1B Sponsorship
Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Matt Garman
Chief Executive Officer
Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
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