Physical Design Methodology Engineer, Innovus Flows - New College Grad 2025 at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Technology, AIIndustries

Requirements

Pursuing a MS in Electrical or Computer Engineering (or equivalent experience)
Understanding of physical design optimization and routing methodologies at place, cts, route and postroute, especially power and area efficient setup and hold optimization
Experience in advanced Clock tree synthesis methods and techniques
Strong background in STA, extraction, timing and RC correlation
Background with 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
Understanding of hierarchical design, pinning and budgeting flows
Experience with power distribution networks, Design for Yield and Manufacturability, EM and IR closure and thermal management
Proficiency in programming and scripting languages, such as TCL, Perl, Python, and C++
Ways to stand out
Understanding of AI/ML methods in physical design optimization
Knowledge of industry standard EDA tools, with proficiency in Innovus based flows

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
Develop 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
Work 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

Physical Design

Place and Route

Floorplanning

Clock Tree Synthesis

CTS

STA

UPF

FSDB

SAIF

PPA Optimization

DRC

IR Analysis

EM Analysis

Power Optimization

Timing 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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