Why This Role Stands Out
Advance your career by designing and optimizing cutting-edge AI/HPC network fabrics with NVIDIA Spectrum-X and InfiniBand technologies, offering significant growth and impact in a hybrid work environment. You'll thrive in this role if you possess deep expertise in high-speed networking and enjoy complex problem-solving within a collaborative team. Apply today to contribute to groundbreaking technology advancements.
Quick Overview
Job Description
Senior Network Engineer – AI/HPC Fabric
Location: Cary, NC
Experience: 10–12 Years
Duration: Long term
W2 Contract
Job Summary:
Seeking a Senior Network Engineer to design, validate, and optimize high-performance fabrics for large-scale AI/GPU and HPC clusters using NVIDIA Spectrum-X, Quantum InfiniBand, BlueField-3, RoCEv2, and RDMA.
Job Summary:
Seeking a Senior Network Engineer to design, validate, and optimize high-performance fabrics for large-scale AI/GPU and HPC clusters using NVIDIA Spectrum-X, Quantum InfiniBand, BlueField-3, RoCEv2, and RDMA.
Mandatory Skills:
- NVIDIA Spectrum-X & Quantum InfiniBand
- BlueField-3 / DPU
- RoCEv2 & RDMA
- AI/HPC and GPU cluster networking
- High-speed Ethernet/InfiniBand
- Network troubleshooting, optimization & benchmarking
- Reference architecture and runbook development
- 3–5 years hands-on AI/HPC fabric experience
Key Responsibilities:
- Design and validate AI/HPC network fabrics at scale.
- Develop reference architectures, runbooks, and performance baselines.
- Troubleshoot latency, congestion, RDMA, and network performance issues.
- Conduct network benchmarking, validation, and capacity testing.
- Support BlueField-3 and high-speed networking deployments.
- Collaborate with field, delivery, architecture, and customer teams.
Required Qualifications:
- Bachelor’s degree in Computer Science, Electrical Engineering, Networking, or related field.
- 10–12 years network engineering experience.
- Strong expertise in Spectrum-X, InfiniBand, RoCEv2, RDMA, and BlueField-3.
- Experience with large-scale AI/HPC/GPU environments.
- Strong communication and technical documentation skills.
- Relevant NVIDIA/Cisco/Juniper certifications preferred.
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