Software Engineering Intern - 2027

at Nvidia

📍 Munich, Germany

EUR 47,800-82,900 per year

INTERN

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 6 API @ 3 Algorithms @ 3 Communication @ 6 Data Analysis @ 3 Data Pipelines @ 2 Data Science @ 3 Data Structures @ 3 Docker @ 3 GPU Git @ 2 Kubernetes @ 3 LLM @ 3 Machine Learning @ 3 NoSQL @ 2 Observability Python @ 6 RAG @ 3 SQL @ 2 TypeScript @ 6 Vector Databases @ 2 Web Development @ 6

Details

NVIDIA is using AI and GPU technology to define the next era of computing across computers, robots, and self-driving cars. Join the PerfLab team as a Software Engineering Intern and work with leading experts on projects involving AI, graphics technologies, performance testing, and gaming. Experience and passion for PC games are welcome.

Responsibilities

Integrate AI into testing and service workflows to improve troubleshooting, result analysis, and reporting.
Develop an MCP tool to analyze service logs.
Create an AI agent to orchestrate troubleshooting, automate triage, and support root cause analysis across multiple services.
Build AI-assisted analysis of test results to identify performance regressions, anomalies, and trends across game builds, drivers, and hardware configurations.
Connect AI analysis with historical results and known issues to provide context and supporting evidence.
Generate clear, actionable summaries and integrate their delivery into reports, dashboards, and notifications for end users.
Collaborate with testing engineers and customers to evaluate AI-generated findings and improve their accuracy and usefulness.
Implement observability and feedback loops for safe operation in production.
Propose new architectures and approaches.

Requirements

Currently pursuing a bachelor's or master's degree in Computer Science, Engineering, AI, Data Science, or a related field.
Strong programming fundamentals, particularly in Python, preferred for AI frameworks, or TypeScript, for web development.
Solid understanding of data structures, algorithms, and API design.
Basic knowledge of machine learning concepts, especially retrieval-based or agent-based architectures.
Familiarity with Git, SQL, NoSQL, or vector databases, and data pipelines.
Strong problem-solving skills and eagerness to learn new technologies.
Interest in applying AI to performance testing, data analysis, and customer-facing workflows.
Strong collaboration and communication skills, with the ability to learn quickly and work effectively in a dynamic environment.

Preferred Qualifications

Strong experience with Python and TypeScript.
Exposure to LLM evaluation, structured outputs, or human-in-the-loop review workflows.
Experience with performance testing or test automation, and familiarity with gaming performance metrics and analysis methods.
Experience with RAG pipelines, vector databases, embeddings, or LLM orchestration.
Knowledge of containerization with Docker and orchestration with Kubernetes.

Compensation

The expected annual rate is EUR 47,850–82,940. Internship pay is based on the position, location, year in school, degree, and experience, and is prorated for the duration of the internship.