System Software Engineer, AI Infrastructure - New College Grad 2026 at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Pursuing a Bachelor's degree or higher in Computer Science or other related field
Experience with Python (required) and JavaScript
Knowledge of software engineering principles, OOP/functional programming, and writing high-performance, maintainable code
Practical experience in AI, machine learning, or agent frameworks (e.g., LangChain, OpenAI Functions)
Exposure to microservices, web apps, or databases (SQL/NoSQL), containers (Docker), Kubernetes, or CI/CD pipelines, distributed messaging systems (e.g., Kafka) or event-driven architectures
Excellent communication skills and a collaborative, proactive approach

Responsibilities

Help design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools
Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale
Stay informed of the latest advancements in AI infrastructure and contribute to continuous innovation

Skills

Python

JavaScript

OOP

functional programming

machine learning

LangChain

OpenAI Functions

microservices

SQL

NoSQL

Docker

Kubernetes

CI/CD

Kafka

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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