Software Engineering Intern, AI Agents – Backend Infrastructure

🔥 2 minutes ago

🌐 Germany, France, +1 more countries – Remote

🇩🇪 Germany – Remote 🇫🇷 France – Remote 🇳🇱 Netherlands – Remote

⏰ Full Time

⚪️ Entry-level

🧑‍💻 Full-stack Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Work with senior engineers to design, build, and improve backend services and APIs for internal platforms that run automated workflows at massive scale • Build AI agents and agentic workflows that connect LLMs to tools and internal services, and integrate them into production systems • Help make agents reliable and safe in production through access control, guardrails, and agent quality evaluation • Assist in building data pipelines and GPU job orchestration for synthetic data generation and model evaluation at scale • Implement and improve observability, including tracing, metrics, and logging, for distributed services and agents • Participate in code reviews, testing, and debugging, and apply software engineering best practices in a production environment • Talk to internal users, prototype quickly, collect feedback, and iterate

🎯 Requirements

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or related field • Strong programming fundamentals in at least one of: Go (preferred), Python, or C# • Solid understanding of data structures and algorithms • Basic knowledge of software design patterns and API design concepts • Hands-on experience building with LLMs, such as a project, prototype, or coursework that uses LLM APIs • Familiarity with version control systems (Git) • Understanding of database concepts and SQL • Strong problem-solving skills and eagerness to learn new technologies • Excellent communication skills and ability to work effectively in a team environment • Experience building AI agents or LLM-powered applications: tool/function calling, MCP, RAG, or agent frameworks (e.g., LangGraph, NVIDIA NeMo Agent Toolkit) • Experience with distributed systems concepts (REST APIs, microservices architecture) and containerization (Docker) • Knowledge of cloud platforms (AWS, GCP, Azure), GPU workloads, and infrastructure automation • Familiarity with CI/CD pipelines, DevOps practices, observability tools (OpenTelemetry, Prometheus, Grafana), and orchestration platforms (Kubernetes) • Experience with database technologies (MySQL, MongoDB, Redis, Elasticsearch)

🏖️ Benefits

• Competitive salaries • Generous benefits package