{"id":2310232,"url":"https://alion.io/job/nvidia-senior-software-engineer-ai-networking-3","title":"Senior Software Engineer, AI 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":434,"ghost_share":0.014,"stale_share":0.493,"repost_share":0.032,"time_to_fill_p50_days":28,"computed_at":"2026-10-13T05:45:00Z"}},"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":["Austin, United States","Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":224000,"max":356500,"currency":"USD","period":"year","gross":null,"usd_annual":356500},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"InfiniBand","optional":false},{"name":"NCCL","optional":false}],"status":"live","first_seen_at":"2026-10-11T00:00:00Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-13T06:04:29Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"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.\nWe are seeking an outstanding Software Engineer to join our US-based networking software team. As a technical leader, you will lead the transformation of AI networking systems. You will apply your deep expertise to manage complex customer engagements and help develop our product and architecture direction. This role offers an outstanding opportunity to influence NVIDIA's networking technologies and make a significant impact on the industry.\nWhat you’ll be doing:\nEstablish yourself as a technical specialist in AI networking products, specifically the BlueField DPU and ConnectX product lines. Architect, design, and develop innovative, scalable, and high-performance hardware-accelerated software solutions.\nLead deep technical engagements with hyperscalers, involving design-in, coding, bring-up, performance tuning, failure analysis, and production hardening.\nPartner with internal engineering, product, and architecture teams to transform customer needs into product features, reference architectures, tooling, and guidelines.\nDrive performance, reliability, and debuggability improvements across customer stacks and translate findings into actionable product, firmware, and software roadmap items.\nWhat we need to see:\nA Bachelor’s, Master’s or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering or a related science degree (or equivalent experience)\n12+ years of relevant industry experience, including technical leadership across complex systems.\nDeep knowledge of networking protocols and distributed systems, with a strong understanding of RoCE/InfiniBand, L1-L4 fundamentals, and performance/latency tradeoffs.\nProven low-level software expertise with proficiency in C/C++ and comfort debugging across firmware, driver, OS, and application.\nDemonstrated experience in high-performance networking and system-level debugging, including packet drops, retransmissions, congestion, QoS, ordering, and buffer management.\nExcellent interpersonal skills, with the ability to clearly explain complex topics to engineers, PMs, and customer collaborators, and align cross-organizational teams toward a decision.\nResult driven and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements\nWays to stand out from the crowd:\nPrior experience in customer-facing technical leadership at hyperscalers/CSPs.\nHands-on expertise with RDMA verbs, DPDK, DOCA, NCCL, CUDA-aware networking, congestion control, and performance tuning at scale.\nExperience building internal tools, telemetry, and automation that improve triage speed and operational excellence.\nExperience leading multi-team initiatives across geo/time zones, with clear examples of influence without authority as well as eager and proactive in bringing to bear AI-powered tools to accelerate debugging, documentation, and day-to-day engineering efficiency while maintaining strong engineering judgment.\nWith competitive salaries and a generous benefits package, NVIDIA 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, 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 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.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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