Mixed Signal Design Validation Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, AI, TechnologyIndustries

Requirements

BS degree or equivalent experience with 2+ years in Electrical Engineering, Computer Engineering, or related field
Strong collaborative and interpersonal skills
Highly adaptable to time-sensitive, critical issues
Experience in silicon bring-up, debugging, and use of lab instrumentation
Ability to work in a fast-paced environment with multiple chip and system bring-ups
In-depth technical knowledge of fundamental analog, digital, and mixed-signal circuits
Ability to write scripts for validation, debugging, data analysis, and automation
Proficiency in Python, Git, MATLAB, and JMP

Responsibilities

Build validation test suites for high-speed I/Os and analog circuits
Conduct detailed characterization of analog, digital, and mixed-signal circuit blocks across process, voltage, and temperature variations, and correlate data with simulations
Lead and drive debugging of technically challenging issues by devising creative solutions
Provide feedback to analog circuit designers regarding silicon performance, design quality, and margins
Build and run test scripts to optimize overall system performance
Lead focused discussions with cross-functional teams to optimize mixed-signal circuit performance
Develop tools and scripts to support electrical characterization and chip bring-up activities
Take ownership for training new engineers in validation practices

Skills

Key technologies and capabilities for this role

Mixed-Signal CircuitsHigh-Speed I/OPVT CharacterizationCircuit ValidationSilicon Bring-UpTest ScriptingDebuggingElectro-Optical TransceiversAnalog CircuitsLab Data Analysis

Questions & Answers

Common questions about this position

What education and experience are required for this Mixed Signal Design Validation Engineer role?

A BS degree or equivalent experience with 2 years experience or higher in Electrical Engineering, Computer Engineering, or a related field is required.

What key skills are essential for this position at NVIDIA?

Essential skills include experience in silicon bring-up, debugging, and lab instrumentation; in-depth knowledge of analog, digital, and mixed-signal circuits; scripting proficiency in Python, Git, MATLAB, and JMP; strong collaborative and interpersonal skills; and adaptability in a fast-paced environment.

Is this a remote position, or does it require on-site work?

This information is not specified in the job description.

What is the compensation or salary for this role?

This information is not specified in the job description.

What qualities make someone stand out for this Mixed Signal Design Validation Engineer position?

Candidates stand out with comprehensive understanding of multi-protocol SerDes architecture, in-depth understanding of measurement theory and test instruments, and knowledge of optical transceiver performance.

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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