{"id":3746636,"url":"https://alion.io/job/nvidia-senior-advanced-development-engineer-gpu-networking","title":"Senior Advanced Development Engineer, 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":"B","score":83,"open_postings":823,"ghost_share":0.026,"stale_share":0.599,"repost_share":0.055,"time_to_fill_p50_days":40,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tel Aviv, Israel","Ra'anana, Israel","Yokneam, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"NCCL","optional":false}],"status":"live","first_seen_at":"2026-11-04T13:34:17Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-07T07:38:30Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. As a Senior Software Engineer in the GPU Networking Architecture team, you’ll lead advanced development and POC efforts for AI infrastructure solutions. You'll be collaborating with experts across distributed AI, deep learning, networking OS, virtualization, storage, and more. Come and join us for the cutting edge in GPU Networking!\nWhat you’ll be doing:\nDrive advanced development and POCs for AI infrastructure solutions in cutting-edge AI networks, integrating innovative software and hardware.\nDemonstrate team architectural concepts with larger NVIDIA AI software stacks.\nWork closely with various groups within NVIDIA to bring AI network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects.\nWhat we need to see:\nHold a B.Sc., M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a reputable university (or equivalent experience).\nExperienced in virtualization, networking and storage.\nProficient in C/C++ over Linux OS Development.\n8+ years of proven experience as a software engineer.\nA teammate with a can-do attitude, high energy and excellent interpersonal skills.\nAbility and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.\nWays to stand out from the crowd:\nKnowledge in Deep Learning frameworks and AI communication libraries (NCCL, UCX, MPI and equivalents).\nExperience in Kubernetes.\nStellar communication skills.\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. 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