{"id":194263,"url":"https://alion.io/job/nvidia-senior-qa-automation-engineer-asic-simulation","title":"Senior QA Automation Engineer, ASIC Simulation","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":813,"ghost_share":0.025,"stale_share":0.677,"repost_share":0.046,"time_to_fill_p50_days":36,"computed_at":"2026-10-28T05:59:10Z"}},"role":"QA","role_family":"QA","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":["Kyiv, Ukraine","Ukraine","Greece"],"countries":["UA","GR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":69000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1282},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BGP","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GitLab CI","optional":false},{"name":"Jenkins","optional":false},{"name":"KVM","optional":false},{"name":"Linux","optional":false},{"name":"OSPF","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Scapy","optional":false},{"name":"VLAN","optional":false},{"name":"VMWare","optional":false}],"status":"live","first_seen_at":"2026-08-31T00:00:00Z","employer_posted_date":"2026-08-31","last_verified_at":"2026-10-28T03:39:40Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":58},"description":"What if your Python automation caught a critical ASIC bug before the physical silicon was even manufactured? At NVIDIA, our simulation platforms make that happen every release cycle! We are the System Ethernet QA Team at NVIDIA's R&D center, responsible for the testing and qualification of virtual networking silicon (SimX) and software-from L2 forwarding and L3 routing to overlays, QoS, and security. With SimX, developers and QA engineers get hardware-free, early access to the ASIC for better debugging.\nWe are looking for a Senior QA Software Engineer who combines network protocol expertise with strong Python automation skills. Does debugging a BGP EVPN route leak excite you as much as refactoring a test framework? Then we should talk!\nWhat you'll be doing:\nWe don't just complete checklists; we collaborate closely with R&D to lead the quality of new features from design to deployment. In this role, we:\nReview architectural designs and requirements for new features introduced to the product\n\nDrive the design, development, and execution of tests across functional, performance, and security scopes as part of SW GA and update releases\n\nDevelop Python automation suites built on clean OOP principles\n\nChase down defects and validate fixes until we fully resolve the root cause\n\nLeverage the SimX platform to validate code and debug the ASIC long before hardware arrives.\n\nWhat We Need to See:\nCombined network engineering depth with thorough software habits\n\n5+ years of hands-on QA or networking experience, backed by CCNP-equivalent protocol knowledge: L2 (VLAN, STP), L3 (BGP, OSPF), EVPN, VXLAN, and advanced features like PFC, ECN, RoCE, and QoS\n\nProduction-quality Python engineering-specifically, strong OOP design and hands-on experience with Pytest\n\nDeep Linux proficiency (at an LPIC-1 or LPIC-2 level) to navigate system internals, analyze logs, and debug effectively\n\nClear verbal and written communication, with professional proficiency in written and spoken English\n\nB.Sc. or or B.A. or equivalent experience in Computer Science, Electrical Engineering, or a similar background.\n\nWays to stand out from the crowd:\nExperience with Docker and traffic generation tools (Ixia, TRex, Scapy)\n\nHands-on experience integrating tests into CI/CD pipelines (Jenkins, GitLab CI)\n\nWorking knowledge of virtualization platforms (KVM, VMware).\n\nNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. 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