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Ninad Pimparkar
Intel Foundry Services Engineer
Ninad Pimparkar is a professional deeply involved in DTCO, silicon-spice correlation, device & std cell PPA, library characterization & aging for major technology players like Intel, TSMC, and GlobalFoundries across various node sizes.
With a leadership role, Ninad led a team of 10 in aging modeling operations dispersed across multiple sites and timezones, showcasing strong managerial skills.
His expertise extends to working closely with Digital/RF customers, specializing in design for reliability issues, making him a go-to expert in the field.
Ninad Pimparkar has in-depth knowledge of device physics, advanced node process technology, and has applied Machine Learning techniques to automate essential model extractions and simulations.
He was instrumental in establishing the infrastructure for Reliability & Aging processes from scratch, utilizing tools like RelXpert and OMI for efficient operations.
His proficiency with various spice simulators like HSPICE, Spectre, Eldo, Ultrasim, Finesim, and AFS sets him apart in the industry, enabling him to drive high-quality simulations.
Ninad also demonstrates excellent programming skills with Python, C, Matlab, and Shell scripting, with additional experience in Perl, aiding in automation and workflow streamlining.
This skilled professional has a history of receiving numerous awards within the leading semiconductor companies like GlobalFoundries and Intel Foundry, highlighting his exceptional contributions.
Beyond his technical acumen, Ninad Pimparkar is an accomplished Toast Master, showcasing his prowess in public speaking and communication skills.
Education-wise, he holds a Doctor of Philosophy - PhD in Nanotechnology from Purdue University, along with a Master of Technology - MTech, and a Bachelor of Technology - BTech both in Electrical and Electronics Engineering from the prestigious Indian Institute of Technology, Bombay.
Throughout his career journey, Ninad has garnered rich experience from positions such as Device Design & Pathfinding Engineer at Intel Corporation, Senior Member Of Technical Staff at GLOBALFOUNDRIES, Sr. Technology and Integration Engineer at GLOBALFOUNDRIES, and Sr. Technology and Integration Engineer at AMD.
Highlights
Intel Foundry Services (IFS) is in a short burst of hiring.
Go ahead and apply, feel free to give me as reference.
[Reportedly] Elon Musk sent an email to the staff at Tesla with his 6 rules for productivity. Unsurprisingly, it leaked.
Here they are:
- Avoid large meetings Large meetings waste valuable time and energy.
- They discourage debate
- People are more guarded than open
- There’s not enough time for everyone to contribute Don’t schedule large meetings unless you’re certain they provide value to everyone.
- Leave a meeting if you’re not contributing If a meeting doesn’t require your:
- Input
- Value
- Decisions Your presence is useless. It’s not rude to leave a meeting. But it’s rude to waste people’s time.
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Forget the chain of command Communicate with colleagues directly. Not through supervisors or managers. Fast communicators make fast decisions. Fast decisions = competitive advantage.
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Be clear, not clever Avoid nonsense words and technical jargon. It slows down communication. Choose words that are:
- Concise
- To the point
- Easy to understand Don’t sound smart. Be efficient.
- Ditch frequent meetings There’s no better way to waste everyone’s time. Use meetings to:
- Collaborate
- Attack issues head-on
- Solve urgent problems But once you resolve the issue, frequent meetings are no longer necessary. You can resolve most issues without a meeting. Instead of meetings:
- Send a text
- Send an email
- Communicate on a discord or slack channel Don’t interrupt your team’s workflow if it’s unnecessary.
- Use common sense If a company rule doesn’t:
- Make sense
- Contribute to progress
- Apply to your specific situation Avoid following the rule with your eyes closed. Don’t follow rules. Follow principles.
