Clock Design Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

NVIDIA Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, Technology, AIIndustries

Requirements

  • B.SC./M.SC. in Electrical Engineering/Computer Engineering
  • 3+ years of relevant experience in chip design
  • Solid hands-on RTL design skills in Verilog
  • Proficiency in at least one common scripting language like Python, Bash, TCL
  • Great teammate

Responsibilities

  • Designing and implementing SOC level clock requirements
  • Developing and deploying automation flows which support SOC level design
  • Daily work involves aspects of chip level design, including partitioning, CDC, trial synthesis, design quality checks
  • Be exposed and work on a variety of functional and structural challenges, including functional debug, physical design readiness, emulation, resolve design quality issues

Skills

Key technologies and capabilities for this role

ASIC DesignSOC DesignClock DesignRTL IntegrationPartitioningCDCSynthesisFunctional DebugEmulationPhysical DesignDFTCADDesign Automation

Questions & Answers

Common questions about this position

What is the salary and benefits like for this Clock Design Engineer role?

NVIDIA offers highly competitive salaries and a comprehensive benefits package.

Is this Clock Design Engineer position remote or hybrid?

The position is hybrid.

What skills are required for the Clock Design Engineer role?

Candidates need a B.SC./M.SC. in Electrical Engineering/Computer Engineering, 3+ years of relevant experience in chip design, solid hands-on RTL design skills in Verilog, and proficiency in at least one scripting language like Python, Bash, or TCL.

What is the company culture like at NVIDIA for this role?

You'll be immersed in a diverse, supportive, and encouraging environment where everyone is inspired and encouraged to do their best work.

What makes a candidate stand out for the Clock Design Engineer position?

Passion for quality and experience with delivery to physical design, emulation, firmware, and other customers will help you 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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