ASIC Physical Design and Timing Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Technology, AIIndustries

Requirements

BS (or equivalent experience) in Electrical or Computer Engineering with 2+ years experience or MS (or equivalent experience)
Knowledge of Static Timing Analysis (STA)
Knowledge of physical design and optimization e.g., synthesis, floorplanning, placement, CTS, routing, power, etc
Hands-on experience with industry standard EDA tools

Responsibilities

Drive Physical Design and 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

Key technologies and capabilities for this role

ASIC Physical DesignTiming AnalysisStatic Timing AnalysisSTASynthesisEquivalence CheckingFloorplanningTiming ConstraintsPower ConvergenceECO Implementation

Questions & Answers

Common questions about this position

What is the base salary range for this position?

The base salary range is 108,000 USD - 184,000 USD, determined based on location, experience, and pay of employees in similar positions.

What benefits are offered with this role?

You will be eligible for equity and benefits.

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

This information is not specified in the job description.

What skills are required for the ASIC Physical Design and Timing Engineer role?

Required skills include a BS or MS in Electrical or Computer Engineering with 2+ years experience, knowledge of Static Timing Analysis (STA), knowledge of physical design and optimization (synthesis, floorplanning, placement, CTS, routing, power), and hands-on experience with industry standard EDA tools.

What makes a candidate stand out for this position?

Candidates stand out with industry experience in timing convergence for ASICs, CPUs, GPUs or Network processors, knowledge of deep sub-micron process nodes, and proficiency in AI/LLM and programming languages. NVIDIA seeks creative and autonomous individuals.

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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