SOC Clock Distribution Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

B.SC. in Electrical Engineering or Computer Engineering
3+ years of confirmed experience in chip design
Hands-on physical design skills, specifically in clock distribution
Proficiency in at least one scripting language (e.g., Perl, Python, Bash, Tcl)
Experience with delivery back to RTL and physical design

Responsibilities

Designing and implementing SOC-level clock requirements
Daily work involving aspects of chip-level design, including partitioning, CDC (Clock Distribution), trial synthesis, and design quality checks
Working on a variety of functional and structural challenges, including functional debug and physical design readiness
Resolving design quality issues
Collaborating with various teams including Physical Design, CAD, Package Design, Software, DFT, and unit-level owners

Skills

Key technologies and capabilities for this role

Physical DesignClock DistributionPythonPerlTclBashSOC DesignRTLSynthesisCDCDFTChip DesignPartitioning

Questions & Answers

Common questions about this position

What is the salary and benefits like for this position?

NVIDIA offers a highly competitive salary and comprehensive benefits package.

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 SOC Clock Distribution Engineer role?

Candidates need hands-on physical design skills specifically in clock distribution, proficiency in at least one scripting language like Perl, Python, Bash, or Tcl, and experience with delivery back to RTL and physical design. A B.SC. in Electrical Engineering or Computer Engineering and 3+ years of confirmed experience in chip design are also required.

What is the company culture like at NVIDIA?

NVIDIA fosters a diverse and encouraging environment where employees are encouraged to do their best work and is committed to fostering a diverse work environment as an equal opportunity employer.

How can I apply for this SOC Clock Distribution Engineer position?

Interested candidates should visit www.nvidiabenefits.com/ for more information on salaries and benefits.

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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