Physical Design CAD 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

Semiconductors, NetworkingIndustries

Requirements

B.SC./M.SC. in Electrical Engineering/Computer Engineering (or equivalent experience)
At least 2 years of relevant experience
Proficiency using Python, Perl, Tcl, Make scripting
Expertise in analysing and converging crosstalk delay, noise glitch, and electrical/manufacturing rules in deep-sub micron processes
Knowledge in physical design and optimization (e.g., placement, routing, cell sizing, buffering, logic restructuring) to improve timing and power, and implementing them through ECOs
Knowledge in process variation effect modelling and experience in design convergence taking into account variations
Successful track record of delivering designs to production
Self-motivation, attention to detail, and good written, verbal, and presentation skills
Familiarity with synthesis, place and route, STA EDA tools from Synopsys (DC/FC/PT), Cadence (Innovus/Tempus)
Experience in methodology definition / flow owner of synthesis / Place and Route / STA steps
Great teammate
Ownership, self-learning skills, and ability to work autonomously

Responsibilities

Develop physical design, synthesis, STA, and Logic eq methodologies for implementation of networking chips and SOCs
Work closely with block owners, full Chip STA engineers, and project managers to assure high quality and timely convergence
Come up with unique and creative solutions to state-of-the-art physical design problems for chips
Participate in and develop flow and tool methodologies for chip floorplan, power and clock distribution, P&R, timing analysis and closure, power and noise analysis, and back-end verification across multiple projects

Skills

Key technologies and capabilities for this role

PythonPerlTclMakeSTASynthesisPhysical DesignPlacementRoutingECOsCrosstalk AnalysisNoise AnalysisTiming ClosurePower AnalysisClock Distribution

Questions & Answers

Common questions about this position

What is the salary for this Physical Design CAD Engineer position?

This information is not specified in the job description.

Is this a remote or hybrid role?

This is a hybrid role.

What skills are required for this Physical Design CAD Engineer role?

Required skills include proficiency using Python, Perl, Tcl, Make scripting; expertise in analysing and converging crosstalk delay, noise glitch, and electrical/manufacturing rules in deep-sub micron processes; and knowledge in physical design and optimization like placement, routing, cell sizing, buffering, and logic restructuring.

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

NVIDIA offers a meaningful, growing, and highly professional environment with forward-thinking people, where you can make a significant impact in a technology-focused company and be part of the best physical design team in the industry.

What makes a candidate stand out for this Physical Design CAD Engineer position?

Candidates stand out with familiarity with synthesis, place and route, STA EDA tools from Synopsys (DC/FC/PT), Cadence (Innovus/Tempus); experience in methodology definition/flow ownership; being a great teammate with ownership, self-learning skills, and ability to work autonomously.

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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