Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs jobs in United States
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Amazon · 2 weeks ago

Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs

positionCupertino, California, USA
timeFull-time
remoteOnsite
senioritySenior Level
money$143K/yr - $248K/yr
date5+ years exp

Amazon is a leading cloud platform provider through its AWS division. The Sr. ASIC Design Engineer role involves designing and optimizing hardware for machine learning acceleration, focusing on achieving high performance and efficient design in AWS data centers.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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H1B Sponsor Likelynote

Responsibilities

Integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing
As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications
Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements
Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints
Perform lint and clock domain crossing quality checks on the design
Work with with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish your tasks

Qualification

RTL designVLSI engineeringSystemVerilog RTLAssertionsPython scriptingMicroarchitectureCode quality toolsDebug skillsAttention to detailEffective communication

Required

Bachelor's degree in Electrical Engineering or a related field
5+ years in RTL design for SOC
5+ years of VLSI engineering
5+ years with code quality tools including: Spyglass, LINT, or CDC

Preferred

Master's degree or Ph.D. degree in Electrical Engineering or related field
Experience scripting for automation (e.g., Python, Perl, Ruby)
Experience that includes strong analytical skills, attention to detail, and effective communication abilities
Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints
Familiarity with data path design, interconnects, AXI protocol

Benefits

Equity
Sign-on payments
Full range of medical, financial, and/or other benefits

Company

Amazon

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Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
dateFounded in 1994
location
Seattle, Washington, USA
people-size10001+ employees
web-link
https://amazon.com

H1B Sponsorship

Amazon 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
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)

Funding

Current Stage
Public Company
Total Funding
$8.11B
Key Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO

Leadership Team

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Douglas J. Herrington
CEO, Worldwide Amazon Stores
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Werner Vogels
VP & CTO
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