{"id":2472215,"url":"https://alion.io/job/nvidia-enterprise-platform-technical-marketing-engineer-intern-summer-2027","title":"Enterprise Platform Technical Marketing Engineer Intern - Summer 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":813,"ghost_share":0.025,"stale_share":0.677,"repost_share":0.046,"time_to_fill_p50_days":36,"computed_at":"2026-10-28T05:59:10Z"}},"role":"DevOps","role_family":"DevOps","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":20,"max":71,"currency":"USD","period":"hour","gross":null,"usd_annual":142000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Machine Learning","optional":false},{"name":"NVIDIA NIM","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"RAPIDS","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"TensorRT","optional":false},{"name":"Windows","optional":false}],"status":"live","first_seen_at":"2026-10-13T20:10:26Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-28T14:30:42Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology-and amazing people. 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.\nAs an Enterprise Platform TME intern, you will help accelerate adoption of NVIDIA Enterprise solutions by building the workflows, demos, and technical content that show partners and customers what GPU-accelerated platforms make possible. You will stand up AI and agentic AI workflows end to end and then explain them clearly to engineering audiences and at public events, developing the technical marketing assets that bring them to life - product and technology demonstrations, videos, playbooks, and targeted content. A core part of the role is translating Enterprise Platform capabilities into real-world use cases across Manufacturing, AECO, and Media & Entertainment. Working closely with key OEM partners and internal teams, you will help define the demos that showcase GPU-enabled enterprise platforms, produce the technical collateral that supports them, and enable customers to develop AI locally on the systems they already trust. Position includes owning a summer project: a \"hero demo\" showcasing an end-to-end GPU-accelerated workflow; Pitch the demo concept directly, driving ownership of the idea from the start; A follow-on project may be assigned if the hero demo is completed early and to a high standard.\nWhat you'll be doing:\nBuilding AI and agentic AI workflows end to end on NVIDIA platforms, including hardware bring-up and troubleshooting\n\nCreating technical marketing assets such as product demonstrations, videos, playbooks, and one-pagers\n\nTranslating enterprise platform capabilities into real-world use cases across manufacturing, architecture and construction, and media and entertainment\n\nDefining and testing demos alongside original equipment manufacturer (OEM) partners and internal teams, and organizing a shared demo library\n\nOwning a summer \"hero demo\" project: an end-to-end GPU-accelerated workflow that you pitch and then build\n\nWhat we need to see:\nPursuing a BS or MS in Computer Science, Computer Engineering, or a related technical field (graduating December 2027 or later)\n\nProgramming experience in Python\n\nWorking knowledge of Linux and Windows, including command-line tooling and system configuration\n\nHands-on experience with an AI or machine learning framework such as PyTorch, TensorFlow, or Hugging Face\n\nExperience documenting a technical workflow and presenting it to a technical audience\n\nWays to stand out from the crowd:\nExperience with large language models, retrieval-augmented generation (RAG) pipelines, or agentic AI frameworks such as LangChain, LlamaIndex, or NVIDIA NIM\n\nFamiliarity with CUDA, GPU acceleration concepts, or NVIDIA developer software development kits such as TensorRT, RAPIDS, or Omniverse\n\nWorking knowledge of containers and environment management (Docker, Conda, WSL), Git, and C/C++ or shell scripting\n\nHands-on PC or workstation hardware experience, including component installation, system bring-up, driver troubleshooting, and benchmarking\n\nProjects you can demo: a GitHub portfolio, hackathon builds, research prototypes, technical blogs, or demo videos\n\nNVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!\nOur internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.You will also be eligible for Intern benefits.\nApplications for this job will be accepted at least until October 17, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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