Power and Performance Characterization Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Networking, TechnologyIndustries

Requirements

B.Sc. in electrical engineering
Experience of 2+ years with component debugging, ASIC performance and power characterization
Knowledge in python/C/C++
Understanding of board-IC interactions
Experience with writing software for hardware interaction

Responsibilities

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
Building relevant DOEs, writing required scripts/functions/envelopes, debugging HW and SW issues during the activity, and analyzing results from the IC point of view
Writing tests (in python/C++) to test the ASIC in worst-case conditions
Understanding 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)
Collaborating 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
Power measurements of networking ASICs in a multi-component system and correlating the power consumption to VLSI/timing principles
Setting operational conditions (operating F-V curve, temperature range), and characterizing power to performance tradeoffs
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
Working closely with design, test, and characterization teams to develop and implement robust test strategies that improve product quality and yield

Skills

Python

C++

VLSI

ASIC

ATE

Ethernet

PCIe

Power Measurement

Performance Characterization

DOE

Hardware Debugging

Software Debugging

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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