Senior Physical Design Methodology Engineer, Innovus Flows at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, TechnologyIndustries

Requirements

MS in Electrical or Computer Engineering (or equivalent experience)
Minimum 7 years’ experience in Physical Design Engineering
Proven track record of PPA improvement on high performance and low power designs in advanced technology nodes
Strong understanding of physical design optimization and routing methodologies at place, CTS, route, and post-route stages
Solid background in advanced Clock tree synthesis methods and techniques
Good understanding of STA, extraction, timing, and RC correlation
Understanding of design rules in advanced nodes and their impact on DRC closure and PPA optimization
Understanding of power intent files such as UPF, and use of FSDB/SAIFs for power optimization
Experience with hierarchical design, pinning, and budgeting flows
Expertise and in-depth knowledge of industry standard EDA tools
Proficiency in programming and scripting languages, such as TCL, Perl, Python, and C++

Responsibilities

Developing innovative physical design methodologies for implementation of GPU, CPU and SOCs, with emphasis on PPA (Power, Performance, Area) and runtime improvement of the physical design flow on advanced technology nodes
Developing flows for advanced place and route methods, floorplanning and chip assembly, power and clock distribution, power and area optimization, timing, IR and EM analysis and closure
Working with internal and external partners to drive tool and methodology improvements to deliver best-in-class PPA solutions across all our product lines

Skills

Innovus

PPA Optimization

Clock Tree Synthesis

Static Timing Analysis

UPF

FSDB

SAIF

TCL

Perl

Python

C++

Hierarchical Design

Routing Methodologies

EDA Tools

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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