#JR1988714
ress existing and new product opportunities/requirements.
Deep dive into key product use cases and adapt the engineering focus accordingly.
Analyze chip utilization, efficiency, and latency telemetry of key product use cases to drive the development of new features with the highest return and investment tradeoff.
Work closely and proactively with other engineering teams such as system architects, chip and board designers, software/firmware engineers, HW/SW QA teams and Applications engineering teams to develop system level power management methodologies.
Drive new feature/spec debug from HW side and provide creative solution to deliver the feature into productization to achieve high product quality at aggressive schedule.
What We Need To See:
BS or MS degree in EE/CE or equivalent experience.
8+ years of experience in Architect, develop and debug silicon and system power savings features; Analyzing Data Center, Client, or Automotive use cases with emphasis on silicon energy efficiency; Functional and Power HW validation for silicon and system power-saving features.
Strong EE fundamentals, knowledgeable in digital design, computer architecture, power analysis, timing analysis, fault analysis, sampling, statistics, and scripting.
Excellent verbal communication and written, presentation skills.
Deep understanding of firmware/driver structures and their interaction with HW.
Hands-on validation lab experience with silicon bring-up, lab debug and lab tools (oscilloscopes, multimeters, DAQ).
Experience with Python, tool and script development, Windows and Linux OS is a plus.
Knowledge in PLL/Clock, VF, DVFS is a plus.
Effective in a collaborative environment.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.