Efficient Computer
Technology
PhysicalDesign-CADLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Physical Design - CAD Lead at Efficient Computer. Skills: Physical Design, CAD flows, Flow infrastructure. Drive and develop PD flows. Develop methodology for finfet technologies”
What You'll Achieve.
Achieve hardware engineering vision; Spend 90% or more time on actual design tasks
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Master's degree in Electrical Engineering with 5+ years of industry experience, PhD in Electrical Engineering with 3+ years of industry experience, python other scripting programming skills, Experience in developing workflow orchestration infrastructure or tools, Familiarity with kubernetes and containerization, Experience implementing regression frameworks, SQL or other database proficiency, Intimate knowledge of hardware design workflows for Physical Design and RTL/DV, Excellent scripting skills in TCL, shell and python
Nice to Have
Experience in full chip RTL/DV and PD flows, Knowledge of circuit design, device physics, deep sub-micron technology, and SOI technology, Proficiency with industry-grade physical design flow, Hands-on building CAD flow infrastructure for PD engineers, Definition of design constraints for static timing analysis, Experience in integrating analog or mixed-signal macro, Experience in verifying IP collaterals
What You'll Do.
Drive and develop PD flows
Develop methodology for finfet technologies
Develop methodology for multi patterning technologies
Help develop repeatable PD flows
Help develop predictable PD flows
Help develop design agnostic PD flows
Help develop process agnostic PD flows
Develop flow infrastructure
Propose end to end build flows
Develop end to end signoff flows
Build regression frameworks
Develop collateral quality checking utils
Develop and deploy a unified environment
Work with 3rd party vendor resources
Coordinate vendor work
Continuously work on improving flow consistency
Continuously work on improving flow efficiency
How You'll Work.
Team & Collaboration
PD team leads
Full Job Description
Efficient is developing the world’s most energy-efficient general-purpose computer processor. Efficient’s patented technology uses 100x less energy than state of the art commercially available ultra-low-power processors and is programmable using standard high-level programming languages and AI/ML frameworks. This level of efficiency makes perpetual, pervasive intelligence possible: run AI/ML continuously on a AA battery for 5-10 years. Our platform’s unprecedented level of efficiency enables IoT devices to intelligently capture and curate first-party data to drive the next major computing revolution Efficient is seeking a CAD Lead - PD flows/infrastructure to join our growing team. The ideal CAD Lead would have worked on significant portion of the full gamut of Physical Design flows and flow infrastructure (flowtracer etc). This role is in a newly formed hardware engineering group and is the seed hire for this discipline. You will get to setup CAD flows and infra from scratch and influence and shape this aspect in the future. This is a unique opportunity to get in at the early stages of a hardware engineering organization and have influence on our products as we move from initial stages of product development to market release and scaled volume production. Join our team and help us shape the future of computing at the edge and beyond! Key Responsibilities Drive and develop PD flows, methodology for state of the art finfet and multi patterning based technologies from scratch in Cadence Tempus or Synopsys Primetime. Help develop repeatable, predictable , design and process agnostic PD flows. Develop state of the art flow infrastructure to enable consistent and rapid design under tight schedule constraints for multiple product lines in the energy efficient edge AI computing market. Work closely with PD team leads to propose and develop end to end build and signoff flows. Build regression frameworks for ensuring high quality flows and achieve hardware engineering vision
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