{"id":2522632,"url":"https://alion.io/job/nvidia-research-software-engineering-student-ai-and-gpu-networking","title":"Research Software Engineering Student, AI and GPU Networking","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":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"part_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tel Aviv, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"NCCL","optional":false}],"status":"live","first_seen_at":"2026-10-14T11:36:18Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T00:36:42Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. With an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, NVIDIA is looking for a strong Research Software Engineer Student to join our growing Software Architecture Research team in shaping the future.As a Research Software Engineer Student you will be conducting pioneering research at the intersection of Networking, Security, and Communications, and working alongside top experts in these fields. With incredible resources in networking, you will be able to impact, contribute and advance these domains for scalable accelerated computing. Topics include but are not limited to remote direct memory access, hardware offloading and hardware acceleration, distributed accelerator networks, AI for networking and security, storage management, cryptography accelerators and architecture. With its unique open culture, NVIDIA is one of the best industry labs to do Accelerated Computing and AI Networking research.\nWhat you’ll be doing:\nDevelop NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo or NVIDIA NIXL\nDevelop and evaluate new technologies, innovations relevant for high-performance computing, deep learning, and data-intensive workloads.\nCreate proof-of-concept to evaluate and drive such new technologies.\nWork on impactful projects involving state-of-the-art high-performance computing and AI software and hardware.\nDesigning and implementing services, runtime systems, and applications over SDK.\nEvaluate and optimize applications performance.\nPartner and collaborate with other forward-thinking team members and external researchers.\nWhat we need to see:\nStudent for BSc/MSc/PhD in Electrical Engineering, Computer, Science/Engineering, Math/Physics/Statistics or a related field.\nStrong programming and software development skills.\nKnowledge in networking, operating systems, accelerator programming, systems and AI training and inference.\nGood communications skills.\nPlease include your internship availability in your application.\nWays to stand out from the crowd:\nShown research track record.\nExperience and passion for system architecture, CPU/GPU/Memory/Storage/Networking.\nKnowledge in Deep Learning frameworks and AI communication libraries (NCCL, UCX, MPI and equivalents).\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! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. 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