Amazon · 1 day ago
Sr. Signal Integrity / Power Integrity Engineer, Annapurna Labs, Machine Learning Hardware
Annapurna Labs, part of Amazon Web Services (AWS), designs cutting-edge silicon and software solutions. They are seeking a Senior SI/PI Engineer to play a crucial role in the design and validation of next-generation machine learning ASICs, focusing on signal and power integrity.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Perform end-to-end high-speed channel simulations to ensure signal integrity across complex designs
Conduct SI/PI analysis to optimize PCB layouts, minimizing losses and signal degradation
Utilize simulation tools such as ADS, MATLAB, Cadence, HFSS, and others to evaluate performance and troubleshoot issues
Work with PCIe protocols and equalization techniques (DFE, CTLE, FFE) to optimize high-speed interfaces
Analyze clock distribution and jitter, ensuring signal timing and integrity across designs
Collaborate with PCB layout and hardware design teams to define optimal stack-ups and trade-offs for manufacturing feasibility and performance
Identify and mitigate PCB manufacturing issues, ensuring high production yield and reliability
Work closely with cross-functional teams, including hardware design, validation, and product engineering, to align on requirements and trade-offs
Qualification
Required
Deep understanding of SI concepts and strong analytical skills in signal and power integrity
Hands-on experience with simulation tools such as ADS, MATLAB, Cadence, HFSS, and others
Proficiency in high-speed channel simulations, including system-level modeling and validation
Experience with PCIe protocols and equalization methods (DFE, CTLE, FFE)
Knowledge of clock distribution and jitter analysis for high-speed designs
Expertise in PCB layout and board manufacturing processes, including identifying and mitigating potential issues
Hands-on experience in stack-up design, including dielectric material selection, impedance control, and layer optimization
Preferred
Experience in power integrity analysis and power delivery network (PDN) optimization
Familiarity with high-speed design compliance testing and validation methodologies
Knowledge of EMC/EMI mitigation techniques
Benefits
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
Parental leave
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
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reference. (Data Powered by US Department of Labor)
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2025 (22803)
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2023 (19057)
2022 (24088)
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2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
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