SWQA Test Development Engineering Intern - 2026 at NVIDIA

Belfast, Northern Ireland, United Kingdom

Apply Now

Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Technology, AI, SemiconductorsIndustries

Requirements

Currently pursuing a BS or higher degree in CS/EE/CE or related field
Programming skills in Python or similar languages
Understanding of Unix/Linux and shell scripting basics
Hands-on experience using AI development tools
Strong attention to detail, problem-solving skills, and quality-focused attitude
Good communication skills in written and verbal English
Passion to learn new technologies and grow your skills

Responsibilities

Create automation tests based on manual scenarios and be involved in enhancing framework architecture and implementation for areas such as UI, REST API, process automation, and performance validation
Assist in building reliable fast feedback loops by integrating automation testing in CI and discovery pipelines
Help build testing-related documentation, including test plans, test cases, and bug reports
Manage bug lifecycle and collaborate with multi-functional teams to work towards solutions

Skills

Key technologies and capabilities for this role

Test AutomationPythonUI TestingREST APICI/CDPerformance TestingScriptingAI ToolsCode GenerationDebugging

Questions & Answers

Common questions about this position

What is the duration and location of the internship?

The internship has a period of tenure for one year and is based in the Belfast office.

What are the required skills for this SWQA Test Development Engineering Intern position?

Candidates must be currently pursuing a BS or higher in CS/EE/CE or related field, have programming skills in Python or similar languages, understanding of Unix/Linux and shell scripting basics, hands-on experience using AI development tools, strong attention to detail, problem-solving skills, quality-focused attitude, good communication skills, and passion to learn new technologies.

What does a strong candidate look like for this role?

To stand out, have academic or personal projects involving AI/ML especially with LLMs or prompt engineering, experience with test automation frameworks or building testing tools, familiarity with NVIDIA GPU hardware, coursework or projects in distributed systems performance testing or data analysis, and experience with version control systems like Git.

Is this a remote position or does it require office presence?

This is not a remote position; it is based in the Belfast office.

What compensation or salary is offered for this internship?

This information is not specified in the job description.

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