Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning

Key job responsibilities

• Define, develop and deploy innovative physical design and verification methodologies (RTL2GDS) for ML Accelerator chips in advanced nodes
• Drive Optimizations in CAD flows/methodologies for PPA and TAT improvements
• Work with EDA tool vendors to evaluate new methods, resolve bugs, improve usability.
• Fine tune cloud infrastructure to improve compute and storage utilization for physical design work.
• Interface directly with RTL, Physical Design, Package Design, DFT teams to improve methodologies and efficiencies.
• Be able to independently troubleshoot digital tool flow usage and deploy solutions;
• Create Dashboard and Central reports for project tracking and visualizing QoR/stats

Key Skills

• Fluent in scripting languages such as TCL, Python, etc. and able to build scalable and efficient flows to support parallel design developments

Basic Qualifications

• BS + 10yrs or MS + 7yrs in EE/CS
• 5+ years developing physical design methodology or CAD flows in synthesis, PNR, and sign-off areas for advanced technology nodes.
• Proficient in programming/scripting languages (Perl, Python, C++)
• Solid understanding of ASIC physical design, and methodologies including synthesis, PnR, and sign-off.
• Demonstrated level of expertise in PD tools such as Innovus, ICC2, Fusion Compiler, STA, and Sign-Off.
• Proven track record of delivering metric driven PPA flow development and support.

Preferred Qualifications

• Expertise 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.
• Knowledge of technology nodes across foundries
• Experience in evaluating multiple vendor solutions and driving tool decisions.
• Knowledge of creating dashboards and status reports for various EDA tool outputs, QOR metrics and analyzing trends (synthesis, pnr, signoff etc)
• Experience with machine learning

Company Information

Alexa, Amazon Chime, Kindle, Alexa for Business, Kinesis Video Streams, AppStream 2.0, and more. To learn more about our company, visit amazon.jobs.