Senior STA Engineer, Sub-Chip at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Networking, AIIndustries

Requirements

B.SC./M.SC. in Electrical Engineering
At least 4+ years of hands-on STA experience
Experience in Prime Time and signoff methodologies
Excellent leadership capabilities

Responsibilities

Perform advanced Static Timing Analysis (STA) for HSIO at chiplet and FC level
Running Prime Time, review and debug timing paths, understand constraints, sdc generation, timing ecos generation
Identify convergence risks and work closely with physical design, RTL and DFT teams, ensuring convergence throughout various project stages
Responsible for a full timing closer and quality approval from pre-layout STA model through signoff

Skills

Key technologies and capabilities for this role

Static Timing AnalysisPrimeTimeSDC generationtiming ECOsHSIOchipletPhysical DesignRTLDFTSynthesisPNRsignoff methodologies

Questions & Answers

Common questions about this position

What experience is required for the Senior STA Engineer role?

Candidates need a B.SC./M.SC. in Electrical Engineering, at least 4+ years of hands-on STA experience, experience in Prime Time and signoff methodologies, and excellent leadership capabilities.

What are the main responsibilities of this position?

The role involves performing advanced Static Timing Analysis (STA) for HSIO at chiplet and FC level, running Prime Time, reviewing and debugging timing paths, generating SDC and timing ECOs, identifying convergence risks, and collaborating with physical design, RTL, and DFT teams for full timing closure.

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 position?

Ways to stand out include knowledge in physical design flows and methodologies (Synthesis, PNR, DFT designs), strong background in Prime Time tool, and being a great teammate.

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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