Senior Circuit Engineer - Custom Timing 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, Technology, AIIndustries

Requirements

Expertise and in depth knowledge of industry standard STA tools such as NanoTime and PrimeTime
Experience in timing constraints generation & management, and timing analysis/closure with mixed-signal designs
Experience with transistor-level circuit design and ability to perform SPICE simulations for correlation to static timing and noise results
Understanding of crosstalk, noise glitch, OCV, and timing margins
Familiarity with clocking specs such as jitter, IR drop, crosstalk, etc
Knowledge of .libs and the usage of .libs in NanoTime as well as in PrimeTime
Strong team player with outstanding interpersonal skills
MS (or equivalent experience) in Electrical or Computer Engineering with 3+ years experience in Custom Design and Timing

Responsibilities

Participate in cutting edge Processor design in deep submicron technologies
Work as part of a global circuits team to design innovative circuits (digital, semi-custom and mixed-signal analog) to improve the performance and reliability of Nvidia’s next generation products
Develop timing models and methodology for custom macro design at transistor level along with ones using standard cells and custom designs
Validate the timing of custom circuit design using NanoTime and various SPICE simulations to ensure proper timing of innovative circuit topologies
Provide a link between circuit designers, tool developers and chip level timing to validate transistor level timing accuracy and timing test correctness

Skills

Key technologies and capabilities for this role

NanoTimePrimeTimeSPICESTAtiming constraintstiming analysistiming closuremixed-signal designstransistor level designcustom macro designstandard cellsdeep submicron technologiesdigital circuitssemi-custom circuitsmixed-signal analog

Questions & Answers

Common questions about this position

What experience and education are required for the Senior Circuit Engineer role?

A MS (or equivalent experience) in Electrical or Computer Engineering with 3+ years experience in Custom Design and Timing is required.

What key skills in timing analysis are needed for this position?

Expertise in industry standard STA tools such as NanoTime and PrimeTime, experience in timing constraints generation & management, and timing analysis/closure with mixed-signal designs are essential.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What is the compensation or salary for this role?

This information is not specified in the job description.

What makes a candidate stand out for this Senior Circuit Engineer position?

Familiarity with transistor-level analog and mixed-signal block design, hands-on experience in advanced CMOS technologies like FinFET 5nm/3nm/2nm, strong scripting skills in TCL or Python, and understanding of NanoTime algorithms help candidates stand out.

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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