EDA Backend Methodology Engineer

Responsibilities

We are seeking highly motivated individuals with a BS, MS, Btech or Mtech degree in Electronics engineering to be part of the EDA team. Join a great team of engineering professionals who are involved in development, validation & release of IBM CAD tools & methodologies used in designing IBM P & Z microprocessor systems along with system ASICS.

In this role, you are expected to enable different flavours of the backend design( RTL-GDS ) flows and assess the quality of tools. Develop automation scripts to aid tool in data analysis/visualization. You are required to have excellent debugging skills and have good understanding of RTL-GDS implementation flow for 7nm and below technologies.

We are seeking energetic, highly motivated individuals willing to go the extra mile with the aim of helping the overall IBM development team.

Strong interpersonal skills are needed to coordinate deliverables and requirements from several areas within and outside of the organization.There are many opportunities to gain and utilize a deep understanding of future issues and provide input towards decisions affecting system development, logical and physical design as well as sophisticated methodology directions.

Individuals who are chosen to become a part of our world class development teams will be helping advance IBM’s leadership in developing the highest performing computers and changing hardware solutions. Do you want to be an IBMer? Come THINK with us!



Required education
Bachelor's Degree

Preferred education
Master's Degree

Required technical and professional expertise

Good knowledge and understanding of PD optimization flow and signoff checks.

Excellent scripting skills - TCL/Python/Shell

Proven problem solving skills and the ability to work in a team environment are a must

Good communication skills & the skill to work with teams across geographies. Ability to continuously improvise and innovate to resolve challenges efficiently.

2+ years of experience in software/methodology development or support in physical design domain.

Preferred technical and professional experience

Cadence, Synopsys, VLSI knowledge, VHDL/Verilog, Machine Learning/AI