{"id":2310239,"url":"https://alion.io/job/nvidia-software-engineer-dl-kernel-libraries-new-college-grad-2027","title":"Software Engineer, DL Kernel Libraries - New College Grad 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":458,"ghost_share":0.013,"stale_share":0.504,"repost_share":0.033,"time_to_fill_p50_days":28,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","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":108000,"max":178250,"currency":"USD","period":"year","gross":null,"usd_annual":178250},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache TVM","optional":false},{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"cuDNN","optional":false},{"name":"CUTLASS","optional":false},{"name":"Flash Attention","optional":false},{"name":"JAX","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLIR","optional":false},{"name":"ONNX","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"SGLang","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Triton","optional":false},{"name":"vLLM","optional":false},{"name":"XLA","optional":false}],"status":"live","first_seen_at":"2026-10-11T00:00:00Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-15T00:36:42Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"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 DL Kernel Library team and see how you can make a lasting impact on the world.\nWe're looking for Software Engineer Interns to help develop groundbreaking technologies in the deep learning inference and training systems software stack! We build innovative AI systems software, primarily cuDNN and FlashInfer. As a member of the team, you'll develop libraries, code generators, and GPU kernel technologies for NVIDIA's hardware architecture. This means designing and building things like new abstractions, efficient kernel implementations, and kernel code generators to accelerate large language models, agents, and other high-impact AI workloads.\nWhat you'll be doing:\nInnovating and developing new AI systems technologies for efficient inference and training\nDesigning, implementing, and optimizing kernels for high impact AI workloads\nDesigning and implementing extensible abstractions for serving engines and training frameworks\nBuilding efficient just-in-time domain specific compilers and runtimes\nCollaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries, kernels, and GPU arch teams\nContributing to open source communities across FlashInfer, cuDNN, vLLM, SGLang, PyTorch, JAX, and XLA\nWhat we need to see:\nBS, MS, or PhD degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)\nStrong experience in developing or using deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc) or inference engines and runtimes such as vLLM, SGLang, and MLC.\nStrong Python and C/C++ programming skills\nWays to stand out from the crowd:\nBackground in domain specific compiler and library solutions for LLM inference and training (e.g. FlashInfer, Flash Attention)\nExpertise in training frameworks and inference engines\nExpertise in machine learning compilers (e.g. Apache TVM, MLIR)\nStrong experience in GPU kernel development and performance optimizations (especially using CUDA C/C++, CUTLASS DSL, cuTile, Triton, or similar)\nOpen source project ownership or contributions\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!.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 178,250 USD for Level 1, and 124,000 USD - 195,500 USD for Level 2.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 15, 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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