Senior Layout Mask 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

Semiconductor, TechnologyIndustries

Requirements

Associates degree (or equivalent experience)
8+ years proven experience in mask and layout design
Deep understanding of digital and analog circuit layout concepts in submicron CMOS technologies
Strong background with Cadence custom circuit design tools - particularly Virtuoso
Experience running and debugging with verification tools such as ICV or Calibre
Knowledge of DRC and LVS checking flows, ability to customize decks
Strong communication skills
Can effectively work in a team, good interpersonal skills, passion and positive energy

Responsibilities

Perform physical layout for custom embedded SRAM structures in state-of-the-art sub-micron CMOS technologies using Cadence tools
Assist in taking part in floor planning, custom layout and verifying against design rules and schematics
Perform power robustness check and EMIR verification and fixes
Negotiation with P&R on setting up ram interface spec
Lead and influence other layout designers to improve team efficiency and align design methodology

Skills

Key technologies and capabilities for this role

Cadence Virtuosophysical layoutSRAM designDRCLVSICVCalibreEMIR verificationfloor planningsub-micron CMOS

Questions & Answers

Common questions about this position

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

The base salary range is 124,000 USD - 195,500 USD for Level 4, and 144,000 USD - 230,000 USD for Level 5, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this position remote or hybrid?

This is a hybrid position.

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

Required skills include 8+ years of proven experience in mask and layout design, deep understanding of digital and analog circuit layout concepts in submicron CMOS technologies, strong background with Cadence custom circuit design tools (particularly Virtuoso), experience with verification tools like ICV or Calibre, knowledge of DRC and LVS checking flows, and strong communication and team skills.

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

NVIDIA offers a collaborative environment as part of the Digital IP Team, working with hard-working people to promote rapid growth, fostering diversity, and supporting the latest in GPU and AI technology with passion and positive energy.

What makes a candidate stand out for this position?

Candidates with SRAM digital custom block design experience and SRAM compiler experience will stand out from the crowd.

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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