Product Definition, Power And Performance
CurrentProduct Definition Owner for Data Center, CPU and Tegra products
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@amd.com
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1 phone found area 658
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Debashish Bhattacharjee is listed as Product Definition | Power | Performance | Yield | NPI | SPC at NVIDIA, based in Santa Clara, California, United States. AeroLeads shows a work email signal at amd.com, phone signal with area code 658, and a matched LinkedIn profile for Debashish Bhattacharjee.
Debashish Bhattacharjee previously worked as Product Definition, Power and Performance at Nvidia and Product Definition Lead at Amd. Debashish Bhattacharjee holds Master Of Science (M.Sc.), Electrical Engineering, Specialization In Microelectronics from National University Of Singapore.
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AeroLeads found 1 current-domain work email signal for Debashish Bhattacharjee. Compare company email patterns before reaching out.
Working as a product definition lead for data center products, responsible for bounding box definition, power and performance characterization, statistical data analysis and debugging the low yield issue. Formerly, worked in the foundry as a yield engineer, led 40nm low power (LPE) and SPC (Statistical Process Control) team, responsible for achieving quarterly yield targets by reducing defectivity through designing experiments and implementing CIP (Continuous Improvement Plan)WORK AUTHORIZATION(US Permanent Resident) Legally authorized to work for any employer in the US without requiring visa sponsorship now or in the future.
Listed skills include Statistical Process Control, Statistical Data Analysis, Jmp, Klarity, and 7 others.
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Santa Clara, Ca, Us
Product Definition Owner for Data Center, CPU and Tegra products
Santa Clara, California, Us
- Own and define bounding box limits and maximize performance for the given power and thermal envelope while meeting projected yield requirements for industry-leading 7nm and 5nm Data Center GPU products- Enable per part voltage-frequency curve, derive droop voltage model, and guardband by characterizing silicon at both ATE and SLT- Managed multiple phases of NPI: Drive project schedules, identify product requirements and dependencies, define characterization and test plan, integration, ramp to volume testing- Analyzed large volume of data to drive business decisions, used statistical analysis techniques and visualization tool to present findings to the engineers, architects, and the senior management (Directors/VPs)- Developed complex regression models that predicts GPU performance, power, yield trade-offs. Defined best practices and improvements, which are emulated on other projects- Led and debugged multiple issues impacting time to market, yield, and performance distributionKey Projects: 1) Designed die grouping strategy of the most expensive and complex chiplet products AMD designed till date2) Implemented dynamic per part Vmin model, which leads to 6% power savings3) Developed python scripts to automate parametric correlation studySkills:- JMP, MYSQL, Python, Microsoft Office Suite- Hands-on experience in Verigy93k
Malta, Ny, Us
- Responsible for weekly reviews with the customers and management, driving a team towards achieving quarterly wafer yield targets by systematically driving down yield issues- Identify the key Defect of Interest (DOI) and collaborate with different process modules to design experiments and improvement plans to reduce wafer defects- Led Statistical Process Control (SPC) team and was accountable for monitoring defect excursion through Health of the line (HOL) and SPC charts- Spearheaded cost reduction projects and collaborated with the cross-functional team to implement several automation projects- Mentored new engineers, interns, technicians by arranging training and workshops to ensure proper knowledge transferKey Projects: 1) Automated YDD SPC DOI platform, which is capable to sort DOI charts based on the technology node and set an automated control limit based on a set of criteria. This project was recognized to save 16 engineering hours per day2) As a team leader of 40nm low power yield improvement team, our department achieved the aggressive yield target of the biggest 40nm customer within one year
Malta, Ny, Us
- Responsible for analyzing inline defect information and maintaining worldwide benchmark sensitivities for defect detection- Design, execute and analyze partition studies for defect source identification and defect reduction to drive continuous yield improvement - Perform root cause analysis of excursion events and inform cross-functional team to take corrective and preventive action on tool/process recipe Key Projects:1) Led the SRAM task force team and improved 40nm low power SRAM yield by 1.1% within six months2) Established defect library for technicians, which improved defect reclassification rate by 10%
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Quick answers generated from the profile data available on this page.
Debashish Bhattacharjee works for NVIDIA.
Debashish Bhattacharjee is listed as Product Definition | Power | Performance | Yield | NPI | SPC at NVIDIA.
AeroLeads has found 1 work email signal at @amd.com for Debashish Bhattacharjee at NVIDIA.
AeroLeads has found 1 phone signal(s) with area code 658 for Debashish Bhattacharjee at NVIDIA.
Debashish Bhattacharjee is based in Santa Clara, California, United States while working with NVIDIA.
Debashish Bhattacharjee has worked for Nvidia, Amd, and Globalfoundries.
Debashish Bhattacharjee's colleagues at NVIDIA include Veda Rao, Ravi Teja Merla, Jennifer Stoch, Kuldeep Tyagi, and Yun-Chung Lee.
You can use AeroLeads to view verified contact signals for Debashish Bhattacharjee at NVIDIA, including work email, phone, and LinkedIn data when available.
Debashish Bhattacharjee holds Master Of Science (M.Sc.), Electrical Engineering, Specialization In Microelectronics from National University Of Singapore.
Debashish Bhattacharjee is listed with skills including Statistical Process Control, Statistical Data Analysis, Jmp, Klarity, Thin Films, Semiconductor Process, Scanning Electron Microscopy, and Nanotechnology.
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