NVIDIA

Backend Engineer, Full Chip Layout

Romania

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, Hardware, ElectronicsIndustries

Position Overview

  • Location Type: [Not specified]
  • Employment Type: Full-time
  • Salary: Not specified
  • Description: NVIDIA is seeking best-in-class Full Chip Layout Physical Design Engineers to join their outstanding Networking Silicon engineering team. The team develops industry-leading high-speed communication devices, focusing on high throughput and low latency. This role involves implementing and analyzing chip layouts, resolving complex problems, and participating in flow development.

Requirements

  • Education: B.SC. in Electrical Engineering or Computer Engineering
  • Experience: 4-6 years of experience as a BE/LO Engineer
  • Skills:
    • Ability to quickly adapt to new technology.
    • Strong communication skills.
    • Great teamwork skills.
    • Drive to develop new solutions for issues.

Responsibilities

  • Full Chip Layout implementation and analysis of partition groups / top-level according to specifications.
  • Addressing challenging constraints, targeting area, routing, and integration.
  • Working on a variety of challenging designs (including high cell count and HS blocks).
  • Resolving complex layout and congestion problems.
  • Performing DRC, LVS, and ANT for partition groups and full chip level.
  • Participating in flows development.

Ways to Stand Out

  • Knowledge of physical design flows and methodologies (PNR, STA, physical verification).
  • Familiarity with physical design EDA tools (Synopsys, Cadence, etc.).

Company Information

  • Company: NVIDIA
  • Description: NVIDIA is a technology-focused company with forward-thinking people. This role offers a meaningful, growing, and highly professional environment where you can make a significant impact.

Application Instructions

  • [Not specified - Please refer to NVIDIA's career website for application instructions.]

Skills

Physical Design
Chip Layout
Flow Development
DRC
LVS
ANT
Physical Verification
EDA Tools
Synopsys
Cadence
High-Speed Communication
Routing
Congestion Resolution
Partitioning
Flow Methodologies

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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