Senior Mixed Signal Circuit Design Engineer at NVIDIA

Hsinchu City, Hsinchu City, Taiwan

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Artificial IntelligenceIndustries

Requirements

Master of Science or foreign equivalent degree in Electrical Engineering, Computer Engineering or related field with strong analog design background
3+ years analog design experience in industry
CMOS Analog / Mixed Signal Circuit Design Experience in deep sub-micron process (especially in FINFET)
Experience with design and verification tools (Cadence's IC design environment, analog circuit simulation tools like Spectre, HSpice, Finesim, XA)
Experience in crafting test bench environments for component and top level circuit verification
Behavioral modeling of analog and digital circuits
Strong debugging and analytical skills
Analog simulation for noise analysis, loop stability analysis, ac/dc/tran analysis, monte-carlo, etc
Strong communication skills and ability & desire to work as a great teammate

Responsibilities

Define circuit requirements and complete design from schematic, layout, and verification to characterization
Conduct schematic design of deep-submicron CMOS technologies using Spectre, Hspice or like
Take responsibility for the architecture, transistor design and verification using industry standard EDA tools such as Cadence Virtuoso
Optimize circuit to meet the specifications for system performance
Work with layout engineers by providing detailed floorplan and guidance for matching and high-speed routings
Provide support for post-silicon bring-up and debugging
Development and implementation of high speed interfaces, including TX/RX/Clocking/PLL
Hands-on experience taking innovative integrated circuit designs at data rates of 50Gbps and higher from concept through silicon characterization

Skills

Cadence Virtuoso

Spectre

HSpice

Finesim

FINFET

Deep-Submicron CMOS

Mixed-Signal Design

Analog Circuit Design

PLL

High-Speed Interfaces

TX/RX

Clocking

Monte-Carlo Simulation

Noise Analysis

Loop Stability 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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