SOC Methodology Engineer - New College Grad 2026 at NVIDIA

Shanghai, China

Apply Now

Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

SemiconductorsIndustries

Requirements

CS/EE/CE/AE degree
Proficient in scripting languages such as Python, Perl, and JavaScript
Experience in web front-end and back-end development, familiar with major databases
Proficient in writing and debugging Makefiles
Mastery of dependency decoupling techniques
Fluent in written and spoken English, adept at cross-team communication and building consensus

Responsibilities

Gain a deep understanding of NVIDIA's design, verification, and architecture development environments, execution processes, and decision-making methodologies
Collaborate with IP design, verification, and architecture engineers to identify existing process bottlenecks and explore infrastructure improvement solutions; clarify requirements and select appropriate methodologies for developing infrastructure processes and tools
Participate in the implementation of ASIC/SoC architecture partitioning strategies for multiple NVIDIA chips
Responsible for the establishment and management of the hardware development environment (Tree)
Maintain and develop automated and intelligent infrastructure processes and tools, including GUI-based web systems and other graphical applications, as well as AI-based/automated regression and analysis processes, to provide an efficient development environment for design, verification, and architecture
Research leading design and verification tool flows within NVIDIA and the industry, and develop new applications based on these flows to address new challenges facing the team

Skills

Python

Perl

JavaScript

Makefiles

Web Front-End

Web Back-End

Databases

ASIC

SoC

GUI

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.

Land your dream remote job 3x faster with AI

Try Jobo Free