We, the Nvidia Networking business unit, are seeking an electrical engineer with knowledge in system-level-based IC testing, and its correlation to VLSI considerations. We require a hardworking, driven, passionate engineer who thrives in high-paced and dynamic environments
As a power & performance characterization engineer, you will be responsible for power measurements of networking ASICs in a multi-component system and correlate the power consumption to VLSI/timing principles, set operational conditions (operating F-V curve, temperature range), and characterize power to performance tradeoffs. Your role involves analyzing discrepancies, refining test methodologies, and defining the post-silicon power model of networking ASICs and how it is affected by the power model of the other components in the systems. You will work closely with design, test, and characterization teams to develop and implement robust test strategies that improve product quality and yield and close tasks quickly within a short period!
What you'll be doing:Running functional and structural tests on the system and correlating power/ performance parameters to parametric data from ATE (production).
Analyzing effects of silicon/environmental considerations on key parameters. Candidates will build the relevant DOEs, write required scripts/functions/ envelopes, debug HW and SW issues during the activity, and analyze results from the IC point of view.
Write tests (in python/C++) to test the ASIC in worst-case conditions.
We require candidates to understand hardware specifications, the effect of the system board on IC performance considerations, software components that enable the desired functionality, and a variety of network protocols (e.g. Ethernet, PCIe).
You will collaborate with hardware teams to understand high-level hardware design, focusing primarily on interaction with the IC and taking part in debugging software issues arising from hardware-software integration.
B.Sc. in electrical engineering.
Experience of 5+ years with component debugging, ASIC performance and power characterization.
Knowledge in python/C/C++
Strong understanding of board-IC interactions.
Experience with writing software for hardware interaction
Proficiency in HW/SW debug techniques and tools.
Have Knowledge in IC timing physics/ considerations.
Experience with network protocols such as Ethernet, TCP/IP, and related communication standards
Experience with system-level component debug
Experience in writing SW for HW testing.
We offer a multifaceted, exciting work environment with many new learning experiences and interactions with people from different aspects of the company!
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation.
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NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
