Physical design Engineer (Synthesis, Automatic Placement and Route)
Skills Preferred
Job Description
Design Enablement team at India, is part of Technology Development group, having charter to develop methodology for advance process nodes, providing opportunity, to be among the first one to work on latest technology. This role, will provide opportunity to work on Physical design, using Synthesis -Automatic Placement and Route flow, from RTL to GDS , including sign off for Timing, Reliability and Layout verification, using Industry standard tools for complex APR partitions with high frequency targets. Candidate will be working on wide variety of activities related to Synthesis, Floor planning, Placement, Clock Tree Synthesis, Routing, Timing convergence, Scan, Hard Macro integration, and Physical convergence. They will work on constraint development, flow optimization to meet design requirements, by working with RTL developers, CAD team and EDA vendors. This role requires good understanding of devices, digital circuits and timing concepts.
Responsibilities
Working Model: This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.
Job Requirements
Candidate must have a Master's degree (M.Tech/MS) in Microelectronics/VLSI/ Electronics Engineering or equivalent qualification from a reputed institute. Candidate should have good knowledge of VLSI, Digital electronics and an understanding of semiconductor devices, digital circuits, and timing closure of design. Understanding fabrication and process technology will be added advantage. Any scripting language experience, like Perl, TCL, or Python would be a plus point. Candidate should have good analytical, and problem-solving skills for debugging issues faced at work and should have proactive and transparent communication. They should be having the mindset to work in diverse and collaborative environments with teams in different domains and Geos.