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.
Responsibilities
- Lead the technical strategy for AI Factory networking deployments at strategic customers, including conducting architecture reviews, risk assessments, and crafting multi-phase execution plans
- Serve 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 Infiniband
- Lead deep technical engagements with hyperscalers and AI Factory customers, involving design-in, coding, bring-up, performance tuning, failure analysis, and production hardening
- Partner with internal engineering, product, and architecture teams to transform customer needs into product features, reference architectures, tooling, and guidelines
- Drive performance, reliability, and debuggability improvements across customer stacks and translate findings into actionable product, firmware, and software roadmap items
Skills
- BS/MS/PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
- 15+ years of relevant industry experience, including technical leadership across complex systems
- Deep knowledge of networking protocols and distributed systems, with a strong understanding of RoCE/InfiniBand, L1–L4 fundamentals, and performance/latency tradeoffs
- Proven low-level software expertise with proficiency in C/C++ and comfort debugging across firmware, driver, and user space
- Demonstrated experience in high-performance networking and system-level debugging, including packet drops, retransmissions, congestion, QoS, ordering, and buffer management
- Excellent interpersonal skills, with the ability to clearly explain complex topics to engineers, PMs, and customer collaborators, and align cross-organizational teams toward a decision
- Prior 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 scale
- Experience building internal tools, telemetry, and automation that improve triage speed and operational excellence
- Demonstrated innovation: patents, publications, hackathons, rapid prototyping, or shipping new architecture/features end-to-end
- Experience 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
Benefits
Company Overview
NVIDIA 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 Sponsorship
NVIDIA 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.