Physical Design Engineer, Annapurna Labs

AWS Utility Computing (UC) provides product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for their cloud services. Additionally this role may involve exposure to and experience with Amazons growing suite of generative AI services and other cuttingedge cloud computing offerings across the AWS portfolio.

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 agoeven 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 provides a highly reliable scalable lowcost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S. Europe Singapore and Japan and customers across all industries.

Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the CloudScale Machine Learning Acceleration team youll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia Trainium Systems (our custom designed machine learning inference and training datacenter servers). Our success depends on our worldclass server infrastructure; were handling massive scale and rapid integration of emergent technologies. Were looking for an ASIC Physical Design Engineer to help us trailblaze new technologies and architectures while ensuring high design quality and making the right tradeoffs.

Key job responsibilities
Work with RTL/logic designers to drive architectural feasibility studies explore powerperformancearea tradeoffs for physical design closure
Drive IO/Core block physical implementation through synthesis floor planning bus / pin planning place and route power/clock distribution congestion analysis timing closure IR drop analysis physical verification ECO and signoff
Develop physical design methodologies
Evaluate 3rd party IP and provide recommendations
Be a highlyvalued member of our startup like team through excellent collaboration and teamwork with other physical design engineers as well as with the RTL/Arch. teams

A day in the life



About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledgesharing and mentorship. Our senior members enjoy oneonone mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Diverse Experiences
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About AWS
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Inclusive Team Culture
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Work/Life Balance
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Mentorship & Career Growth
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BS 4yrs or MS 3yrs in EE/CS
4 years in ASIC Physical Design from RTLtoGDSII in either 7nm 14/16nm 20nm or 28nm
Block Design using EDA tools (examples: Cadence Mentor Graphics Synopsys or Others) including synthesis equivalency verification floor planning bus / pin planning place and route power/clock distribution congestion analysis timing closure IR drop analysis physical verification and ECO
Deep understanding on signoff activities (timing ir/em physical verification)
Scripting experience with Tcl Perl or Python

Expertise using CAD tools (examples: Cadence Mentor Graphics Synopsys or Others) develop flows for synthesis formal verification floor planning bus / pin planning place and route power/clock distribution congestion analysis timing closure IR drop analysis physical verification and ECO
4 years of integrating IP and ability to specify and drive IP requirements in the physical domain.
Thorough knowledge of device physics custom/semicustom implementation techniques
Experience solving physical design challenges across various technologies such as DDR PCIe fabrics etc.
Experience in extraction of design parameters QOR metrics and analyzing trends
Ability to provide mentorship guidance to junior engineers and be a very effective team player
Meets/exceeds Amazons leadership principles requirements for this role
Meets/exceeds Amazons functional/technical depth and complexity for this role

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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