IBM EDA Noif 

India, Karnataka, Bengaluru 

146594017

• We are seeking highly motivated individuals with a BS, MS, or PhD degree in Computer Science, Computer Engineering/ECE, ready to handle the challenging problems in future technologies and designs.
• We are also looking for candidates with Machine Learning/AI and/or Data Science background to lead our leading-edge algorithms and AI technology within our EDA solutions to increase our design team’s productivity and chip quality and performance.
• Our dynamic global team is looking to enlist enthusiastic professionals to join world-class hardware design teams responsible for developing the most challenging and complex systems in the world.
• 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 Technical and Professional Expertise

• Individual contributor will be part of NOISE team to support of the NIOF (Noise Impact on Function) transistor level analysis (MLSA tool)
• 4+ years of Semiconductor/VLSI experience
• Proven problem-solving skills and the ability to work in a team environment are a must
• EDA Tool development experience
• Thorough understanding of Static Timing Analysis and Noise. Knowledge of other VLSI domains is a plus
• Excellent scripting skills – TCL /Python/Shell

Preferred Technical and Professional Expertise

• Cadence, VLSI knowledge, VHDL/Verilog, computer architecture, Machine Learning/AI