Senior Mask Design Engineer - Hardware at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
$124,000 – $230,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, TechnologyIndustries

Requirements

  • BSEE or equivalent experience
  • Minimum of 7+ years of industry experience in Mask and Layout Design
  • Deep understanding of analog circuit layout concepts in submicron CMOS technologies
  • Expertise with Cadence custom circuit design tools, particularly Virtuoso
  • Experience running and debugging with verification tools: Dracula, Hercules, Calibre, and Primeyield
  • Proficiency in scripting languages (e.g., Perl, Python, Skill)
  • Knowledge of DRC (Design Rule Check) and LVS (Layout Versus Schematic) checking flows
  • Ability to customize decks

Responsibilities

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

Skills

Key technologies and capabilities for this role

Cadence VirtuosoDraculaHerculesCalibrePrimeyieldPerlPythonSkillDRCLVSAnalog LayoutSubmicron CMOS

Questions & Answers

Common questions about this position

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

The base salary range is $124,000 - $230,000 USD.

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

This information is not specified in the job description.

What technical skills are required for this role?

Required skills include deep understanding of analog circuit layout in submicron CMOS, expertise with Cadence Virtuoso, experience with verification tools like Dracula, Hercules, Calibre, and Primeyield, proficiency in scripting languages such as Perl, Python, and Skill, and knowledge of DRC and LVS flows.

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

NVIDIA is committed to fostering a diverse work environment and is a proud equal opportunity employer that does not discriminate based on protected characteristics.

What experience is needed to be a strong candidate for this position?

Candidates need a BSEE or equivalent, plus a minimum of 7+ years of industry experience in Mask and Layout Design.

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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