{"id":2091646,"url":"https://alion.io/job/nvidia-ai-developer-technology-intern-2027","title":"AI Developer Technology Intern - 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":"A","score":87,"open_postings":396,"ghost_share":0.015,"stale_share":0.472,"repost_share":0.033,"time_to_fill_p50_days":29,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Munich, Germany","Bristol, United Kingdom"],"countries":["DE","GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":97000,"max_usd":290000,"period":"year","method":null,"sample_n":5136},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-10-08T14:47:35Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-10T21:57:50Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"NVIDIA is looking for a passionate, computer science student to work in its Compute Developer Technology (Devtech) team as an AI Developer Technology intern. Artificial intelligence, the dream of computer scientists for over half a century, is no longer science fiction. And in the next few years, it will transform every industry. Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know your preferences and arrange every detail of your family vacation. And medical instruments will read and understand patient DNA to detect and treat early signs of cancer. Where engines made us stronger and powered the first industrial revolution, AI will make us smarter and power the next. What will make this intelligent industrial revolution possible? A new computing model - GPU deep learning - that enables computers to learn from data and write software that is too complex for people to code.\nWhat you will be doing:\nStudy and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures. \nWork directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs. \nCollaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models. \nWhat we need to see:\nPursuing a Bachelor degree or a Master degree or a PhD degree in an engineering, computer science or natural science related discipline with a strong computational profile. \nGood knowledge of C/C++, DL frameworks, programming techniques, and AI algorithms. \nFirsthand work experience with parallel programming, ideally CUDA C/C++. \nStrong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. \nSome travel is required for conferences and for on-site visits with developers. \nNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. 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