Senior Mixed Signal Design Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Artificial Intelligence, TechnologyIndustries

Requirements

Master’s and/or PhD in Electrical Engineering, Computer Engineering, or related field with strong analog design background (or equivalent experience)
2+ years of analog design experience in industry
CMOS Analog/Mixed Signal Circuit Design experience in deep sub-micron processes (especially FINFET)
Experience with design and verification tools (Cadence IC design environment, Spectre, HSpice, Finesim, XA)
Experience 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 experience (noise analysis, loop stability, AC/DC/tran analysis, Monte-Carlo, etc.)
Strong interpersonal skills and ability to work as a great teammate (preferred)

Responsibilities

Develop and implement high-speed interfaces and analog circuits, taking IC designs at 25Gbps+ data rates from concept through silicon characterization
Define circuit requirements and complete design from schematic, layout, verification, to characterization
Conduct schematic design of deep-submicron CMOS technologies using Spectre, Hspice, or similar
Take ownership of architecture, transistor design, and verification using EDA tools like Cadence Virtuoso
Optimize circuits to meet system performance specifications
Work closely with layout engineers, providing detailed floorplans and guidance for matching and high-speed routings
Provide support for post-silicon bring-up and debugging

Skills

Mixed-Signal Design

Analog Circuits

High-Speed Interfaces

Cadence Virtuoso

Spectre

HSPICE

deep-submicron CMOS

Schematic Design

Layout

Verification

Post-Silicon Debug

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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