PD Methodology Engineer II, Annapurna Labs
Core
Design and optimization of hardware for cloud-scale machine learning inference products like AWS Inferentia, focusing on physical design methodology and CAD flows.
Role type
Senior IC physical design methodology engineer
Builds
Cloud infrastructure and hardware accelerators for machine learning inference
Domain
Semiconductor / Cloud Infrastructure / Machine Learning Hardware
Deliverable
production ML models | infrastructure
Required skills
Physical design flows (synthesis, place and route, STA, formal verification), CAD flow development, PPA flow development, scripting (TCL, Perl, Python), EDA tool evaluation
Preferred skills
Machine learning application experience, C/C++/Java/Perl programming, high-performance low-power design techniques, vendor solution evaluation
Technologies
Innovus, ICC2, FusionCompiler, AWS Inferentia
Responsibilities
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 with RTL, Physical Design, Package Design, DFT and other teams to improve methodologies and efficiencies; Work with EDA tool vendors to evaluate new tools, solve bugs, improve usability
Seniority
Senior, hands-on IC
