{"id":1524843,"url":"https://alion.io/job/nvidia-ai-computing-software-development-intern-2027-2","title":"AI Computing Software Development 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":86,"open_postings":434,"ghost_share":0.014,"stale_share":0.493,"repost_share":0.032,"time_to_fill_p50_days":28,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Early Careers","role_family":"Early Careers","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":["Taipei, Taiwan"],"countries":["TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11500,"max_usd":22000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":621},"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":"CUDA Toolkit","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Recommender Systems","optional":false},{"name":"TensorRT","optional":false},{"name":"TensorRT-LLM","optional":false}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-13T20:10:26Z","board_verified":true,"closed_at":null,"days_open":15,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":15},"description":"We are now looking for an AI Computing Software Development Intern!\nNVIDIA invites skilled interns in artificial intelligence computing solutions to join our AI Compute team in Taiwan. This is your chance to work on one of the globe’s most advanced AI systems. You will help develop technologies for Large Language Models, Recommender Systems, and Generative AI, and push the limits of GPU performance for AI inference.\nWhat you will be doing:\nAs an intern, you’ll focus on one of two specialized tracks: TensorRT-LLM - Inference Optimization (Python / PyTorch) or TensorRT Compiler - Graph Optimization (C++).\nFor TensorRT-LLM:\nBuild and enhance high-performance LLM inference pipelines on key LLM models.\nAnalyze and optimize LLM model execution, scalability, and memory use.\nCollaborate across framework and research teams to deliver efficient multi-GPU model serving for Agentic AI workloads.\nFor TensorRT Compiler:\nWork on the TensorRT compiler backend to improve graph transformations and code generation for NVIDIA GPUs.\nDevelop compiler optimization passes, refine operator fusion, and optimize memory usage.\nCollaborate with CUDA and hardware architecture teams to accelerate Deep Learning inference computations.\nWhat we need to see:\nPursuing a B.S., M.S., Ph.D., or equivalent in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or related fields.\nExcellent problem-solving ability, curiosity for modern AI systems, and passion for GPU computing and deep learning software performance.\nTensorRT-LLM: Strong Python programming and experience with PyTorch; solid understanding of underlying LLM inference operations and GPU acceleration.\nTensorRT Compiler: Proficient in C++, with experience in compiler or performance optimization.\nJoin us and play a part in building the AI computing platforms that drive innovation across industries worldwide.\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. 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