4 days ago
Remote, China +3 moreSenior
Responsibilities
- Partner with account managers and OEM teams to qualify opportunities, understand customer requirements, position SONiC and Spectrum solutions, and develop technical win strategies.
- Design end-to-end architectures covering GPU servers, storage connectivity, and SONiC-based leaf-spine fabrics with RDMA/RoCE.
- Deploy SONiC switches and GPU servers, configure networking, install software stacks, and run benchmarks for customer demonstrations and proofs of concept.
- Support and troubleshoot large-scale production SONiC switch clusters.
- Own customized SONiC software projects on Spectrum white-box switches.
- Collaborate with engineering, product, and OEM teams to resolve firmware, driver, operating system, routing, and GPU/network performance issues.
- Present complex technical topics and produce design documents and proof-of-concept reports for technical and non-technical audiences.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or Computer Engineering, or equivalent practical experience.
- At least 6 years of experience in data center or cloud infrastructure roles such as solutions architect, systems engineer, or network engineer, including direct presales or customer-facing technical work.
- Experience designing and debugging data center networking for AI workloads, including leaf-spine architectures, high-bandwidth and low-latency fabrics, RDMA/RoCE, and ideally InfiniBand.
- Practical SONiC experience installing and upgrading systems, configuring interfaces and routing, using monitoring and telemetry tools, and troubleshooting incidents.
- Strong understanding of GPU server architecture, including CPU/GPU balance, memory bandwidth, PCIe/NVLink topology, storage and NIC placement, and rack-level power and cooling.
- Hands-on experience designing, deploying, or operating GPU-accelerated AI/HPC clusters in on-premises or cloud environments, including sizing, configuration, and performance tuning.
- Excellent written and verbal English communication skills.
- Preferred qualifications include open-source SONiC or AI infrastructure contributions, SONiC coding, experience with NCCL, NIXL, RDMA applications, or distributed training frameworks, production SONiC deployments, and experience with NVIDIA Spectrum-X, InfiniBand, or Cumulus Linux.
Benefits
- Competitive salaries and a generous benefits package are offered.
Categories
Solutions Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.