ASIC Physical Design Intern - 2026 at NVIDIA

Shanghai, China

NVIDIA Logo
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Semiconductor, TechnologyIndustries

Requirements

  • Currently pursuing a Master's or PhD degree within a relevant or related field
  • Strong knowledge in IC design
  • Passionate about technology research and IC backend
  • Self-driven, good learning ability, good teamwork
  • Excellent communication skill, proficient in English reading and writing
  • Ways to stand out (Preferred)
  • Experience in IC backend implementation
  • Hands-on experience in EDA software from Synopsys (DC/PT/Formality), Cadence (RC compiler/LEC)
  • Proficient user of Python or TCL

Responsibilities

  • Chip integration and netlist generation, cross-team collaboration to implement chip partitioning and floorplan
  • Synthesis, RTL/netlist quality check, formal verification, function eco creation
  • Constraints creation and validation, timing budget, work with ASIC team to analyze/resolve function timing issues, achieve all special timing closure, such as io, test, clock, async etc
  • Work in conjunction with PR engineers for chip implementation to achieve full chip timing closure
  • Develop and improve entire timing closure flow from frontend (pre-layout) to backend (post-layout), flow automation development for above areas
  • Methodology in any of above areas

Skills

Synthesis
Formal Verification
Timing Closure
Floorplanning
Netlist Generation
Constraints
ECO
RTL
Chip Integration
Chip Partitioning
Place and Route
Automation
Physical Design

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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