NVIDIA izstrādā paātrinātās skaitļošanas un mākslīgā intelekta tehnoloģijas, ko izmanto spēļu, datu centru, mākoņdatošanas, veselības aprūpes, ražošanas, autobūves un robotikas jomās. Uzņēmuma darbība aptver grafikas procesorus, mākslīgā intelekta platformas, simulāciju un nozarei paredzētus risinājumus, tostarp NVIDIA Omniverse sadarbības 3D darbplūsmām, NVIDIA DRIVE autonomo transportlīdzekļu izstrādei un NVIDIA Clara veselības aprūpes lietojumprogrammām. Uzņēmums apvieno lielas tehniskās komandas, kas strādā pie infrastruktūras un programmatūras, kura nodrošina progresīvu skaitļošanu, simulāciju un mākslīgā intelekta vadītu analītiku.
ML and AI Physical Design Methodology Engineer
Develop automated ML and AI methods for NVIDIA networking silicon physical design. Improve PPA across timing, power, noise, verification, and chip assembly flows.
Apraksts
- Build and deploy AI and ML solutions for production physical design flows
- Create methods to improve power, performance, and area in advanced physical design
- Develop machine learning approaches for physical design challenges
- Create flow and tool methods spanning place and route, timing closure, IR and signal electromigration convergence, power and noise analysis, back-end verification, floorplanning, power and clock distribution, and chip assembly
- Use data analysis and algorithms to assess and improve PPA
Prasības
- Master’s degree in electrical engineering, computer engineering, computer science, or equivalent experience
- At least five years of experience developing ML or AI solutions
- Ability to design and automate workflows
- Strong Python and Tcl programming skills
- Familiarity with machine learning frameworks
- Experience implementing ML-based solutions
- Exposure to physical design workflows
Priekšrocības
- Competitive salary
- Comprehensive benefits package
- Equity