Physical Design Power Optimization Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

NVIDIA Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductor, NetworkingIndustries

Requirements

  • B.SC./M.SC. or equivalent experience in Electrical Engineering/Computer Engineering
  • 2+ years of experience in physical design and/or BE power optimization aspects
  • Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.)
  • Knowledge in physical design flows and methodologies (PNR, STA, physical verification) is an advantage
  • FE design experience is an advantage
  • Excellent problem-solving, partnership, and interpersonal skills

Responsibilities

  • Power Optimization of Physical design, of blocks/top-level/fc under challenging constraints
  • Optimization involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise fixes
  • Power estimation and power modeling

Skills

Key technologies and capabilities for this role

Physical DesignPower OptimizationSynthesisPlace and RouteTiming ClosureClock DistributionPower EstimationPower ModelingPNRSTAPhysical VerificationSynopsysCadenceRTL2GDS

Questions & Answers

Common questions about this position

What experience is required for the Physical Design Power Optimization Engineer role?

Candidates need a B.SC./M.SC. or equivalent in Electrical Engineering/Computer Engineering, plus 2+ years of experience in physical design and/or BE power optimization aspects. Familiarity with physical design EDA tools like Synopsys and Cadence is required, and knowledge of physical design flows (PNR, STA, physical verification) is an advantage.

What does the role involve at NVIDIA?

The role focuses on power optimization of physical design for blocks/top-level/fc under challenging constraints, covering all aspects of RTL2GDS including synthesis, power and clock distribution, place and route, timing closure, power and noise fixes, plus power estimation and modeling.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What kind of company culture can I expect at NVIDIA's Networking Silicon Power team?

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

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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