Senior ASIC Physical Design Engineer, Netlisting 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 3+ years’ experience
Expertise in logic equivalence checking/FV required from RTL to tapeout with industry-standard tools
Deep understanding of hardware architecture and hands-on skills in RTL/logic design for timing closure
Experience in clock-domain-crossing checking, MTBF analysis, either with industry-standard tools or in-house tools
Background with logic synthesis at either block or full-chip level, at project execution and/or flow development
Strong experience in full-chip/sub-chip Static Timing Analysis (STA), timing constraints generation and management, and timing convergence
Expertise and in-depth knowledge of industry standard EDA tools in related fields
Proficiency in programming and scripting languages, such as Perl, TCL, Make, Python, etc

Responsibilities

Drive physical design of high-frequency and low-power CPUs, GPUs, SoCs at block level, cluster level, and/or full chip level, with a focus on netlist-related aspects such as equivalence checking, asynchronous checking including clock domain crossing checks and MTBF analysis, logic synthesis, netlist quality checks, etc
Help in all aspects of physical design, such as driving timing convergence, timing constraints generation and management, and ECO generation and implementation

Skills

Key technologies and capabilities for this role

ASIC Physical DesignNetlistingEquivalence CheckingClock Domain CrossingMTBF AnalysisLogic SynthesisTiming ConvergenceTiming ConstraintsECO Implementation

Questions & Answers

Common questions about this position

What education and experience are required for this Senior ASIC Physical Design Engineer role?

A BS (or equivalent experience) in Electrical or Computer Engineering with 5+ years’ experience or MS (or equivalent experience) with 3+ years’ experience is required.

What key technical skills are needed for this position?

Expertise in logic equivalence checking/FV from RTL to tapeout, clock-domain-crossing checking, MTBF analysis, logic synthesis, full-chip/sub-chip Static Timing Analysis (STA), timing constraints generation and management, and proficiency in EDA tools and scripting languages like Perl, TCL, Make, Python are required.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a candidate stand out for this NVIDIA role?

Candidates stand out with experience in logic synthesis and equivalence checking/FV, familiarity with industry tools and flow, strong hands-on debugging capability and problem-solving skills, and background in DFT timing closure for various modes.

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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