Digital Circuit Design Intern - 2026 at NVIDIA

Hsinchu City, Hsinchu City, Taiwan

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

Pursuing Master / PhD in Electrical Engineering
Solid understanding or experience in high-speed SerDes I/O digital design, knowledge at protocol level (Ethernet, PCIE) preferred
Deep understanding of Verilog or SystemVerilog, logic design and circuit modeling in RTL for mixed-signal blocks
Experience with industry standard verification methodologies, such as UVM
Knowledge with custom digital circuit design and adaptation algorithms, such as FFE, DFE, CTLE, CDR, and offset cancellation
Familiar with static timing tools and formal verification tools
Strong background in Perl and Python scripting
Background in computer architecture and deep learning is a plus

Responsibilities

Be actively involved in developing mixed-signal chips
Plan the specification, evaluate the PPA of algorithms, design the digital circuits such as filters and analog calibration circuits
Verify the analog and digital design using direct test and random test
Perform the front-end design flows (Lint/CDC/Synthesis/DFT/LEC/STA) and co-work with back-end team to chip tape-out
Help in silicon bring-up and fine-tune performance
Work closely with analog designers and system architects to independently come up with micro-architecture specification and refine adaptation algorithms
Implement the RTL in SystemVerilog, define test cases that will deeply verify the design and carry out test creations
Define and build constraints for synthesis and drive for timing closure
Understand the analog schematics and write SystemVerilog models that collect the functionality of those circuits in the most precise way

Skills

SystemVerilog

RTL

Verilog

UVM

SerDes

Ethernet

PCIE

Lint

CDC

Synthesis

DFT

LEC

STA

FFE

DFE

CTLE

CDR

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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