INNOVATION PRODUCT ENGINEER

5 giorni fa


Milano, Italia Amazon A tempo pieno

Utility Computing (UC) provides product innovations—from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) to consistently released new product innovations that set AWS's services and features apart in the industry.
As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions.
Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before and deliver results that help our customers change the world.
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Here at AWS, it's in our nature to learn and be curious. That's why you'll find endless knowledge‐sharing, mentorship and other career‐advancing resources here to help you develop into a better‐rounded professional.
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.
Are familiar with scripting in Python.
Have good debug skills to analyze RTL test failures.
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud‐Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world‐class server infrastructure; We're looking for an ASIC Design Engineer to help us trail‐blaze new technologies and architectures, while ensuring high design quality and making the right trade‐offs.
Bachelor's degree in Electrical Engineering or a related field.
5+ years in RTL design for SOC.
5+ years in VLSI engineering.
5+ years with code quality tools including Spyglass, LINT, or CDC.
D. in Electrical Engineering or related field.
Python, Perl, Ruby).
Familiarity with data path design, interconnects, AXI protocol.


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