PD Methodology Engineer II, Annapurna Labs

Amazon • Cupertino, CA

2d

About The Position

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

• Bachelor's degree in engineering, computer science or equivalent
• 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.

Nice To Haves

• Experience in machine learning applications
• Knowledge of programming languages such as C/C++, Python, Java or Perl
• 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 verbal and written communications

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

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level