Senior Mask Design Engineer - Hardware at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

SemiconductorIndustries

Requirements

BSEE or equivalent experience
Minimum of 12+ years validated experience in Mask and Layout Design
Deep understanding of analog circuit layout concepts in submicron CMOS technologies
Authority with Cadence custom circuit design tools - particularly Virtuoso
Experience running and debugging with verification tools such as Dracula, Hercules, Calibre, and Primeyield
Able to work successfully in a team, with good interpersonal skills, passion, and positive energy
Proficient in scripting languages like Perl, Python, Skill, etc
Knowledge of DRC and LVS checking flows, with ability to customize decks

Responsibilities

Performing physical layout for mixed-signal functions like PLLs, high speed SerDes, Analog to Digital converters, ESD structures designs in groundbreaking sub-micron CMOS technologies using Cadence tools
Working multi-functionally with ASIC and mixed-signal engineers to customize designs for integration in VLSI products
Taking part in floor planning, custom layout, and verifying against design rules and schematics

Skills

Key technologies and capabilities for this role

Cadence VirtuosoMixed-Signal LayoutSub-micron CMOSPLLSerDesADCESD DesignCalibreDRCLVSPythonPerlSKILL

Questions & Answers

Common questions about this position

What is the base salary range for this Senior Mask Design Engineer position?

The base salary range is 144,000 USD - 230,000 USD for Level 5, and 168,000 USD - 264,500 USD for Level 6, determined based on location, experience, and pay of employees in similar positions.

What benefits are offered for this role?

You will be eligible for equity and benefits.

Is this position remote or does it require working in an office?

This information is not specified in the job description.

What skills and experience are required for this Senior Mask Design Engineer role?

Requirements include a BSEE or equivalent, minimum 12+ years in Mask and Layout Design, deep understanding of analog circuit layout in submicron CMOS, authority with Cadence Virtuoso tools, experience with verification tools like Dracula, Hercules, Calibre, and Primeyield, proficiency in scripting like Perl, Python, Skill, and knowledge of DRC/LVS flows.

What does NVIDIA value in candidates for this position?

NVIDIA seeks candidates who can work successfully in a team with good interpersonal skills, passion, and positive energy, in a diverse work environment.

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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