{"id":194575,"url":"https://alion.io/job/nvidia-software-architect-network-system-validation","title":"Software Architect, Network System Validation","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":81,"open_postings":820,"ghost_share":0.024,"stale_share":0.685,"repost_share":0.046,"time_to_fill_p50_days":36,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Yokneam, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":187000,"max_usd":402000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2415},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Chaos Engineering","optional":false},{"name":"InfiniBand","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"NCCL","optional":false},{"name":"NVLink","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false}],"status":"live","first_seen_at":"2026-08-26T00:00:00Z","employer_posted_date":"2026-08-26","last_verified_at":"2026-10-30T02:23:26Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":65},"description":"NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology-and amazing people. 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 team and see how you can make a lasting impact on the world.\nWithin NVIDIA, the Networking Business Unit (NBU) builds the high-speed interconnect - Ethernet, InfiniBand,NVLink, andBlueFieldDPUs - thatswitchesthousands of GPUs into a single AI supercomputer, moving data at the scale and speed the most demanding workloads require.\nNVIDIA islooking for a SoftwareArchitectto join ourNetworkSystemValidationgroup.You will work ondeveloping systemsforvalidatingadvanced networking solutions acrossNVIDIA complex AIclusterenvironments.The group is a high-performance engineering force that treatsvalidationas a first-class software problem. We buildsystems, frameworks, andbenchmarksthat prove our network's correctnessand performanceat scale.This is a senior, deeply hands-on role for a technology leader who can own thesoftware architecture,developmentroadmap, mentor a team ofhigh-performanceengineers, and push NVIDIA'snetworkto itsspeed-of-lightlimits.This role combinesthedesignof validation methodologieswithhands-ondevelopmentoftesting frameworks,automationinfrastructure,andadvanceddebugging, analysis, and investigationtools fornetworkperformance andfunctionality at scale.\nWhat you’llbe doing:\nDesign and implement network validation methodologies for system-level testing\n\nBuild the systems that orchestrate millions of concurrent IO operations, inject chaos at the infrastructure layer (latency, congestion, losses, and hardware failures), and expose the hardest-to-find system faults\n\nBuilding the systems that capture, store and process TBs of telemetry data to produce autonomies root-cause-analysis and system level insights\n\nAdvance AI-driven approaches to test automation: intelligent scenario generation, LLM-augmented root-cause analysis, and autonomous validation pipelines\n\nEstablish engineering practices - design docs, production-grade code reviews, testing philosophy, and cross-team technical alignment\n\nProduce clear, data-driven reports and insights\n\nWhat we need to see:\nB.Sc. / B.A. in Computer Science, Electrical Engineering, or equivalent experience\n\n12+ years of experience in developing large scale software projects\n\nStrong distributed system experience and system-level debugging skills\n\nStrong software skills: C/C++/Rust, Python (must), Bash\n\nExperience building automation frameworks and validation tools\n\nExperience building large-scale infrastructure platforms, internal developer platforms, or reliability engineering systems\n\nDeep understanding of distributed systems: concurrency, consistency models, fault tolerance, and large-scale system behavior under stress\n\nProven track recordleading complex technical initiatives from architecture through delivery\n\nAbility to drive technical alignment across teams, communicate tradeoffs clearly, and make high-quality architectural decisions at speed\n\nWays to stand out from the crowd:\nBackground with RDMA / RoCE / AI networking (NCCL)\n\nExperience with L2/L3/L4 networking protocols\n\nFamiliarity with NVIDIA networking solutions (ConnectX, SpecX, BlueField)\n\nBackground in performance analysis, Kubernetes, or cloud environments\n\nBackground in chaos engineering, fault injection, or simulation systems\n\nWe have some of the most forward-thinking and hardworking people working for us. If you're creative and autonomous, we want to hear from you!\nNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. 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