[Remote] Principal Software Engineer, AI Networking

Note: The job is a remote job and is open to candidates in USA. NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. As a Principal Software Engineer, you will lead the transformation of AI networking systems and manage complex customer engagements to influence NVIDIA's networking technologies.ResponsibilitiesLead the technical strategy for AI Factory networking deployments at strategic customers, including conducting architecture reviews, risk assessments, and crafting multi-phase execution plansServe as the principal-level technical authority for embedded networking products like BlueField and ConnectX. This role also covers the surrounding technology ecosystem, including DOCA, RDMA, RoCE, and InfinibandLead deep technical engagements with hyperscalers and AI Factory customers, involving design-in, coding, bring-up, performance tuning, failure analysis, and production hardeningPartner with internal engineering, product, and architecture teams to transform customer needs into product features, reference architectures, tooling, and guidelinesDrive performance, reliability, and debuggability improvements across customer stacks and translate findings into actionable product, firmware, and software roadmap itemsSkillsBS/MS/PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience15+ years of relevant industry experience, including technical leadership across complex systemsDeep knowledge of networking protocols and distributed systems, with a strong understanding of RoCE/InfiniBand, L1–L4 fundamentals, and performance/latency tradeoffsProven low-level software expertise with proficiency in C/C++ and comfort debugging across firmware, driver, and user spaceDemonstrated experience in high-performance networking and system-level debugging, including packet drops, retransmissions, congestion, QoS, ordering, and buffer managementExcellent interpersonal skills, with the ability to clearly explain complex topics to engineers, PMs, and customer collaborators, and align cross-organizational teams toward a decisionPrior experience in customer-facing technical leadership at hyperscalers/CSPs/AI factories (or similarly complex production environments)Hands-on expertise with DPDK, DOCA, RDMA verbs, NCCL, CUDA-aware networking, congestion control, and performance tuning at scaleExperience building internal tools, telemetry, and automation that improve triage speed and operational excellenceDemonstrated innovation: patents, publications, hackathons, rapid prototyping, or shipping new architecture/features end-to-endExperience 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 judgmentBenefitsEquityBenefitsCompany OverviewNVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com.Company H1B SponsorshipNVIDIA has a track record of offering H1B sponsorships, with 448 in 2026, 1872 in 2025, 1354 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.