Senior Mixed Design Validation Systems - Electrical/Optical Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, AI, TechnologyIndustries

Requirements

Master or PhD of Science in Electrical Engineering, Computer Engineering, or equivalent experience
Excellent collaborative and interpersonal skills
Extremely responsive to time sensitive show-stopping issues
5+ years of experience measuring, analyzing, and debugging complex mixed-signal designs
Experienced in silicon bring-up, debugging and use of lab instrumentation
Ability to work in a high paced environment involved with multiple bring-ups of chips, systems and transceivers
Deep technical understanding of fundamental analog, digital and mixed signal circuits
Experience with Python, Git, Matlab, and JMP
Ability to code scripts for validation, debug, data analysis, and automation

Responsibilities

Develop validation test suites for high-speed IOs including Ethernet and InfiniBand
Perform deep characterization of analog, digital and mixed signal circuit blocks across process, voltage, and temperature and correlate data with simulations
Lead and execute debug of technically challenging bugs by finding creative solutions to complex problems
Provide feedback to designers on silicon performance, design quality, and margins
Develop and execute test scripts to optimize end-to-end system performance of electro-optical transceivers with NVIDIA data center platforms
Maintain focused discussions with multi-operational groups within and outside the company to optimize transceiver performance with NVIDIA platforms
Develop tools and/or scripts to support optical and electrical characterization and bring up activities
Take full ownership to train new engineers in validation practices

Skills

Ethernet

InfiniBand

Mixed-Signal Circuits

Electro-Optical Transceivers

PVT Characterization

High-Speed IO

Circuit Debugging

Test Scripts

Silicon Bring-Up

Optical Characterization

Electrical Characterization

Lab Data Analysis

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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