Circuit Characterization Engineer at NVIDIA

Santa Clara, California, United States

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$108,000 – $212,750Compensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

BS or MS degree in EE/CE or equivalent experience
3+ years of relevant experience in silicon bring-up and post-silicon validation activities
Excellent problem-solving, collaborative, and interpersonal skills
Experience working with offshore teams preferred
Knowledge of chip and board level dI/dt analysis/mitigation techniques and board PDN design background is highly desirable
Hands-on experience with silicon bringup, frequency and power characterization, Tester to System correlation, lab equipment (oscilloscopes, multimeters, DAQ, Spectrum Analyzers)
Exposure to critical path analysis, power analysis, process technologies, transistor/device physics, silicon reliability and aging mechanisms
Familiarity with Python, C/C++, tool and script development
Background with power supply and substrate noise analysis and mitigation
Exposure to digital design, circuit analysis, computer architecture, BIOS, drivers, and software applications

Responsibilities

Participate in silicon bringup & post-silicon characterization of new silicon to optimize performance, power, yield, and quality
Build methodologies to characterize Analog, digital and Mixed Signal circuits, silicon features, correlate silicon behavior with simulations
Design tools to improve execution efficiency to facilitate the ability to work simultaneously on multiple products
Find creative solutions to complex silicon and system level problems and be on the frontline to lead show-stopper bugs, in order to enable product shipment
Work closely with other engineering teams to determine coverage needs and constraints
Drive design improvements for future product based on what is found in the lab

Skills

Python

C/C++

silicon bringup

power characterization

frequency characterization

oscilloscopes

multimeters

DAQ

Spectrum Analyzers

critical path analysis

power analysis

transistor physics

silicon reliability

digital design

circuit analysis

computer architecture

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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