Test Development Software Engineer Intern, Aerial - 2026 at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Technology, TelecommunicationsIndustries

Requirements

Currently pursuing a Master's degree in Telecommunication/Computer Science/Electronic Engineering/Computer Engineering or equivalent
Background with LTE/5G MAC and PHY from both systems and low-level 3GPP spec point of view
Interested in understanding QA methodologies
Familiarity with AI-powered testing frameworks and platforms that improve process efficiency
Proficient Linux experience and shell/python/perl programming skills
Problem solving skills
Highly motivated, with excellent interpersonal skills, good work ethics, and a high sense of teamwork
Experience in using AI development tools

Responsibilities

Utilizing AI-powered tools to enhance QA efficiency, including optimizing test coverage, identifying high-risk areas in software systems, automating test case generation, defect detection, and regression testing
Work closely with multi-functional teams to understand the test requirements and take ownership of product quality
Develop test plans, design test cases, complete testing via automation and/or manually, and compose test reports
Build and maintain complicated test environments
Manage bug lifecycle and co-work with inter-groups to drive for solutions
Assist in the architecture, crafting, and implementing of SWQA test frameworks
Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, and raise if not fixed
Adept at creating detailed test cases, automating them, increasing code coverage, identifying valid bugs early on, and solving these bugs swiftly

Skills

AI development tools

QA automation

test case generation

LTE

MAC

PHY

3GPP

test frameworks

bug tracking

test environments

Python

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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