PD Engineer, Annapurna Labs

As a member of the Cloud-Scale Machine Learning Acceleration team youll 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., * Drive 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 sign-off

• 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, 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.

Machine Learning, Network Operations Center, Cloud Computing, Product Design, Amazon Web Services (AWS), Customer Experience, Leadership, IR Drop Analysis, Timing Verification, Place and Route