Analog Digital Mask Design Engineer at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

SemiconductorIndustries

Requirements

4+ years of experience in high performance analog layout in advanced CMOS process
BE/M-Tech in Electrical & Electronics or equivalent experience
Thorough knowledge of industry standard EDA tools for Cadence
Experience with layout of high-performance analog blocks such as Current mirrors, Sense Amps, bandgaps etc
Knowledge in analog design and layout guidelines, high speed IO (matching devices, symmetrical layout, signal shielding, other analog specific guidelines)
Experience with floor planning, block level routing and macro level assembly
Knowledge of high-performance analog layout techniques such as common centroid layout, matching, symmetrical layout, signal shielding, use of dummy devices, thermal aware layout with consideration for electro migration and other analog specific guidelines
Demonstrated experience with analog layout for silicon chips in mass production
Background with sub-micron design in foundry CMOS nodes 7nm finfet and below is preferred
Experience working in distributed design team is a plus
Self-starter with the ability to define and adhere to a schedule

Responsibilities

Execute IC layout of cutting edge, high-performance, high-speed CMOS integrated circuits in foundry CMOS process nodes in 2nm, 3nm, 5nm, 7nm and lower nodes following industry best practices
Deliver layouts for Circuit Solutions Group specializing in digital cum analog IPs
IP layout will comprise of significant digital components and some analog components
Adopting and putting in place best layout practices/methodology for composing Analog and digital layouts
Follow company procedures and practices for IC layout activities
Perform full custom layout of analog/mixed-signal blocks such as op-amps, bandgaps, PLLs, ADCs, DACs, LDOs, Voltage Regulators etc
Ensure design quality by adhering to matching, symmetry, and parasitic sensitivity requirements
Execute layout verification (DRC, LVS, ERC, Antenna checks, EMIR) and resolve violations
Optimize layouts for area, performance, and manufacturability

Skills

IC Layout

CMOS

Analog Circuits

Digital IPs

Physical Design

Advanced Nodes

2nm Process

3nm Process

5nm Process

7nm Process

Layout Methodology

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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