Senior ASIC Physical Design and Timing Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

BS (or equivalent experience) in Electrical or Computer Engineering with 5+ years experience or MS (or equivalent experience) with 2+ years experience in Synthesis and Timing
Hands-on experience in full-chip/sub-chip Static Timing Analysis (STA), timing constraints generation and management, and timing convergence
Expertise in analysis and fixing of timing paths through ECOs including crosstalk and noise analysis
Expertise in physical design and optimization e.g., placement, routing, cell sizing, buffering, logic restructuring, etc. to improve timing and power, along with a background in implementing them through ECOs
Background in logic synthesis and equivalence checking/FV
Expertise and in-depth knowledge of industry standard EDA tools
Proficiency in programming and scripting languages, such as Perl, Tcl, Python, etc

Responsibilities

Drive timing analysis and closure of Nvidia’s GPUs, CPUs, DPUs and SoCs at block level, cluster level, and/or full chip level
Help in driving frontend and backend implementation including synthesis, equivalence checking, floor-planning, timing constraints, timing and power convergence, and ECO implementation
Work in a cross-functional environment interacting with multiple teams
Apply knowledge and experience to improve timing convergence flows working with the methodology teams

Skills

Timing Analysis

Timing Closure

Synthesis

Equivalence Checking

Floorplanning

Timing Constraints

Power Convergence

ECO Implementation

ASIC Design

Physical Design

SoC

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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