Physical Design Methodology Engineer, Annapurna Labs

Amazon • Cupertino, CA

3d

About The Position

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. AWS has the broadest and deepest set of machine learning and AI services for our customers’ businesses. We are seeking experienced Physical Design Engineer to build the next generation of our cloud server platforms. Our success depends on our world-class infrastructure; we’re handling massive scale and rapid integration of emergent technologies. 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 technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost. You’ll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.

Requirements

• Bachelors or Master’s degree in EE, CE, or CS
• Minimum of 3+ years in developing design methodology or CAD flows in synthesis, PNR, or sign-off areas for advanced technology nodes.
• Experience in writing production scripts for implementation and sign-of. tools in TCL, Perl, and/or Python
• Solid understanding of ASIC physical design, physical design flows, and methodologies including synthesis, place and route, STA, formal verification.
• Proven track record of delivering metric driven PPA flow development and support.
• Demonstrated level of expertise in PD tools such as Innovus, ICC2, FusionCompiler, STA, and Sign-Off.
• Experience in evaluating multiple vendor solutions and driving tool decisions.
• Experience in high-performance, low-power physical design, and implementation techniques with industry standard synthesis, PnR, or Signoff tools.
• Excellent programming skills in languages like Python, Perl, TCL, Shell, etc. Good understanding of algorithms with emphasis on optimizing algorithms.
• Excellent verbal and written communications

Nice To Haves

• Experience with machine learning

Responsibilities

• You will create and support innovative physical design methodology and CAD flows.
• Develop cloud infrastructure to support physical design work.
• Drive improvement in RTL2GDS flows/methodology for PPA and TAT improvement.
• Create Dashboard/central reports for project tracking and visualizing QoR/stats
• Interface directly with RTL, Physical Design, Package Design, DFT and other teams to improve methodologies and efficiencies and drive efforts to resolution.
• Work with EDA tool vendors to evaluate new tools, solve bugs, improve usability, etc.

Benefits

• Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits .

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees