Software Engineering Intern - 2027

NVIDIA is hiring a Software Engineering Intern - 2027 in Munich, Germany. Level rates it ; you can apply on NVIDIA.

Level's read on this job

On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include RAG, AI agents and AI evaluation.
Level classifies it as an internship.
Level lists 2,700+ other open roles at NVIDIA.
The role was posted in the last few days.

AI in this role

ragai-agentsai-evaluation

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Become a Software Engineer Intern at NVIDIA and join the PerfLab team! This exceptional opportunity enables you to work with leading experts and support groundbreaking projects in an inclusive and varied environment. The ideal candidate is a game enthusiast with a good understanding of graphics technologies, would be familiar with NVIDIA products and its characteristics. Experience and passion for PC games is widely welcome.

What you'll be doing:

Integrate AI into testing and service workflows to improve troubleshooting, result analysis, and reporting.
Develop an MCP tool to analyse 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 our 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.

What we need to see:

Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or related field.
Strong programming fundamentals, especially in one of: 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, databases (SQL/NoSQL/Vector) 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.

Ways to stand out from the crowd:Ways to stand out from the crowd:

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 (Docker) and orchestration (Kubernetes).

How we rate this

Software Engineering Intern - 2027 at NVIDIA rates 89 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Engineering Intern - 2027 is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Germany, Munich.
The job was posted on November 3, 2026.
Seniority: intern.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsAI Evaluation

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
How do you decide that one model's output is better than another's for a given task?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: RAG, AI agents, and AI Evaluation. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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