{"id":3334949,"url":"https://alion.io/job/nvidia-software-engineering-intern-ai-agents-backend-infrastructure-2027","title":"Software Engineering Intern, AI Agents & Backend Infrastructure – 2027","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":774,"ghost_share":0.022,"stale_share":0.69,"repost_share":0.04,"time_to_fill_p50_days":38,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Courbevoie, France","Munich, Germany","Berlin, Germany","Germany","Netherlands","France"],"countries":["FR","DE","NL"],"hiring_countries":["DE"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"MySQL","optional":false},{"name":"NVIDIA NeMo","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Synthetic Data","optional":false},{"name":"LangChain","optional":true}],"status":"closed","first_seen_at":"2026-10-27T13:24:21Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-29T15:44:46Z","board_verified":false,"closed_at":"2026-10-29T15:44:46Z","days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"NVIDIA is looking for a Software Engineering Intern to join a team that builds infrastructure and agentic AI services for teams across the company. Our job is to remove other teams' bottlenecks: we build and run core internal services that power large geo-distributed infrastructure, and a growing share of what we ship is driven by AI agents. As an intern, you will work alongside senior engineers to design, build, and ship production systems - from backend services that run automated workflows at massive scale to AI agents that take routine work off engineers' plates. This is an excellent opportunity to gain hands-on experience with agentic AI and modern infrastructure while contributing to real products used by teams across NVIDIA.\nWhat you'll be doing:\nWork with senior engineers to design, build, and improve backend services and APIs for internal platforms that run automated workflows at massive scale\nBuild AI agents and agentic workflows that connect LLMs to tools and internal services, and integrate them into production systems\nHelp make agents reliable and safe in production - from access control and guardrails to evaluating agent quality\nAssist in building data pipelines and GPU job orchestration for synthetic data generation and model evaluation at scale\nImplement and improve observability (tracing, metrics, logging) for distributed services and agents\nParticipate in code reviews, testing, and debugging, and apply software engineering best practices in a production environment\nWork in a product-minded way: talk to internal users, prototype quickly, collect feedback, and iterate\nWhat we need to see:\nCurrently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or related field\nStrong programming fundamentals in at least one of: Go (preferred), Python, or C#\nSolid understanding of data structures and algorithms\nBasic knowledge of software design patterns and API design concepts\nHands-on experience building with LLMs - for example, a project, prototype, or coursework that uses LLM APIs\nFamiliarity with version control systems (Git)\nUnderstanding of database concepts and SQL\nStrong problem-solving skills and eagerness to learn new technologies\nExcellent communication skills and ability to work effectively in a team environment\nWays to stand out from the crowd:\nExperience building AI agents or LLM-powered applications: tool/function calling, MCP, RAG, or agent frameworks (e.g., LangGraph, NVIDIA NeMo Agent Toolkit)\nExperience with distributed systems concepts (REST APIs, microservices architecture) and containerization (Docker)\nKnowledge of cloud platforms (AWS, GCP, Azure), GPU workloads, and infrastructure automation\nFamiliarity with CI/CD pipelines, DevOps practices, observability tools (OpenTelemetry, Prometheus, Grafana), and orchestration platforms (Kubernetes)\nExperience with database technologies (MySQL, MongoDB, Redis, Elasticsearch)\nWith competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. 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