Physical Design Backend Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

NVIDIA Logo
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductor, Technology, NetworkingIndustries

Requirements

  • B.SC./M.SC. in Electrical Engineering/Computer Engineering or equivalent work experience
  • 2+ years of experience in physical design
  • Proven experience in RTL2GDS flows and methodologies
  • Knowledge in physical design flows and methodologies (PNR, STA, physical verification)
  • Deep understanding of all aspects of Physical construction and Integration
  • Knowledge in Physical Design Verification methodology LVS/DRC
  • Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.)
  • Great teammate

Responsibilities

  • Physical design of blocks according to specifications under challenging constraints targeting for the best power, area, and performance
  • Work on a variety of challenging designs (including high cell count and HS blocks)
  • Resolve complex timing and congestion problems
  • Daily work involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise analysis, and physical verification
  • Taking part in flows development

Skills

Key technologies and capabilities for this role

RTL2GDSSynthesisPlace and RoutePNRSTATiming ClosurePhysical VerificationLVSDRCSynopsysCadence

Questions & Answers

Common questions about this position

What experience level is required for this Physical Design Backend Engineer role?

The role requires 2+ years of experience in physical design, along with proven experience in RTL2GDS flows and methodologies.

What key skills are needed for this position at NVIDIA?

Candidates need knowledge in physical design flows and methodologies including PNR, STA, and physical verification, deep understanding of physical construction and integration, and familiarity with EDA tools such as Synopsys and Cadence.

What education is required for the Physical Design Engineer role?

A B.SC./M.SC. in Electrical Engineering/Computer Engineering or equivalent work experience is required.

What is the work environment like at NVIDIA's Networking Silicon team?

You'll work in a meaningful, growing, and highly professional environment on groundbreaking chips with the best physical design team in the industry, collaborating as a great teammate.

What makes a strong candidate for this Physical Design Backend Engineer position?

NVIDIA seeks creative and autonomous engineers who love a challenge, have a B.SC./M.SC. in Electrical Engineering or equivalent, 2+ years in physical design, and expertise in RTL2GDS flows.

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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