Senior Physical Design Methodology Engineer at NVIDIA

Santa Clara, California, United States

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$168,000 – $310,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, NetworkingIndustries

Requirements

MS in Electrical or Computer Engineering (or equivalent experience)
Minimum 5 years experience in Physical Design Engineering
Familiar with aspects of chip design including floor planning, clock and power distribution, place and route, chip assembly and P&R, timing analysis and closure, power and noise analysis, back-end verification
Strong background with hierarchical design approach, top-down design, budgeting, timing, and physical convergence
Familiar with process-related design issues including Design for Yield and Manufacturability, EM and IR closure, and thermal management
Expertise and in-depth knowledge of industry-standard EDA tools
Proficiency in programming and scripting languages, such as Perl, Python, and C++

Responsibilities

Developing physical design methodologies for implementation of graphics processors and SOCs
Developing unique and creative solutions to state-of-the-art physical design problems needed for NVIDIA chips
Participating in developing flow and tool methodologies for chip floorplan
Participating in developing flow and tool methodologies for power and clock distribution
Participating in developing flow and tool methodologies for chip assembly
Participating in developing flow and tool methodologies for P&R (Placement and Routing)
Participating in developing flow and tool methodologies for timing analysis and closure
Participating in developing flow and tool methodologies for power and noise analysis
Participating in developing flow and tool methodologies for back-end verification across multiple projects

Skills

Floorplanning

Clock Distribution

Power Distribution

Place and Route

Chip Assembly

Timing Analysis

Power Analysis

Noise Analysis

Back-end Verification

EDA Tools

Perl

Python

C++

Hierarchical Design

EM IR Closure

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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