{"id":1882159,"url":"https://alion.io/job/nvidia-data-processing-developer-technology-intern-2027","title":"Data Processing 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":88,"open_postings":333,"ghost_share":0.015,"stale_share":0.423,"repost_share":0.03,"time_to_fill_p50_days":29,"computed_at":"2026-10-06T05:45:30Z"}},"role":"Data Science","role_family":"Data Science","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","Courbevoie, France","Bristol, United Kingdom","Zurich, Switzerland","Berlin, Germany","Germany"],"countries":["DE","FR","GB","CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":80000,"max_usd":232000,"period":"year","method":null,"sample_n":4222},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"HPC","optional":false},{"name":"Machine Learning","optional":false},{"name":"MPI","optional":false},{"name":"OpenMP","optional":false},{"name":"Pthreads","optional":false},{"name":"Recommender Systems","optional":false},{"name":"C","optional":true}],"status":"live","first_seen_at":"2026-10-05T00:20:27Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-06T20:05:40Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"We’re currently seeking for an internship position in the Data Processing Developer Technology team. Would you enjoy researching parallel algorithms to accelerate AI and Data Processing workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, we invite you to consider an internship with the Developer Technology Team.\n What you will be doing:\nIn this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.\n\nWork directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures.\n\nPublish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.\n\nInfluence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.\n\nWhat we need to see:\nCurrently pursuing a PhD or Master degree in Computer Science, Computer Engineering, or related computationally focused science degree.\n\nProgramming fluency in C/C++ with a deep understanding of algorithms and software development.\n\nA background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.\n\nEffective communication and organization skills, with a logical approach to problem solving, good time management, and prioritization skills.\n\nWays to stand out from the crowd:\nExpertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.\n\nExcellent understanding of linear algebra.\n\nNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.\nApplications will be accepted until November 8, 2026.\nPlease note: We will be reviewing applications on a rolling basis as they are submitted. Strong candidates may be contacted for next steps before the application deadline. 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