Senior Mixed Signal Design Engineer at NVIDIA

Santa Clara, California, United States

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$168,000 – $310,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Technology, AIIndustries

Requirements

MS/PhD in Electrical Engineering or equivalent experience
4+ years of well-rounded high-Speed DRAM (LPDDR4/5, DDR4/5, GDDR5/6, HBM2/3) or other SerDes interface related design experience
In-depth understanding of deep submicron CMOS FinFET process and related circuit design issues
Familiarity with device reliability, ESD, and Latch-Up requirements
Understanding of system-level timing budgets, specs, and analysis
Strong background in Cadence custom design tools, various circuit simulators (Hspice, XA, FineSim, Spectre)
Knowledge of Verilog, Nanotime, Matlab, or similar tools is a plus
Hands-on experience of silicon debug with Lab test and measurement equipment is a plus
A teammate with good interpersonal skills

Responsibilities

Mixed-Signal/Analog circuit design for High-Speed Memory I/O Interfaces
Solve challenges of circuit designs in the latest CMOS FinFET processes
Take designs through productization and be actively involved in all stages of development
Work with multi-functional teams to optimize the design

Skills

Key technologies and capabilities for this role

SerDesDRAMLPDDR5DDR5GDDR6HBM3FinFETCadenceHSPICESpectreVerilogMatlabESDSilicon Debug

Questions & Answers

Common questions about this position

What is the salary range for this Senior Mixed Signal Design Engineer position?

The base salary range is $168,000 - $310,500 USD.

Is this role remote or onsite?

This is an onsite position.

What are the key required skills and experience for this role?

Candidates need 4+ years of high-Speed DRAM or SerDes interface design experience, in-depth understanding of deep submicron CMOS FinFET processes, familiarity with device reliability/ESD/Latch-Up, system-level timing knowledge, and strong Cadence custom design tools background.

What is the company culture like at NVIDIA for this team?

NVIDIA fosters a diverse work environment as an equal opportunity employer and emphasizes teamwork with good interpersonal skills in a rapidly growing team focused on innovation.

How should I apply for this position at NVIDIA?

Interested candidates should apply through the NVIDIA careers website, as applications are accepted on an ongoing basis.

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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