# Software Engineer Intern

**Company**: NVIDIA
**Location**: Munich
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Munich/Software-Engineering-Intern---2027_JR2029184?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_bcc767f4-6ff

## Description

As a Software Engineer Intern at NVIDIA, you will join the PerfLab team and work on cutting-edge projects that involve integrating AI into testing and service workflows. You will collaborate with leading experts to develop tools and technologies that improve troubleshooting, result analysis, and reporting.

**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 related field

- Strong programming fundamentals, especially in Python or TypeScript

- 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, 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 and orchestration

## Skills

### Required
- Python
- TypeScript
- machine learning
- data structures
- algorithms
- API design
- Git
- databases
- data pipelines

### Nice to have
- LLM evaluation
- structured outputs
- human-in-the-loop review workflows
- performance testing
- test automation
- RAG pipelines
- vector databases
- embeddings
- LLM orchestration
- containerization
- orchestration

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Munich/Software-Engineering-Intern---2027_JR2029184?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)