About the Role

We're looking for a seasoned network engineer/architect with deep, real-world expertise in high-performance networking and AI infrastructure. This person will be responsible for designing, deploying, and troubleshooting large-scale, high-speed network environments — particularly those supporting NVIDIA-based AI infrastructure deployments. This is a technical, hands-on role for someone who has been in the trenches of complex network architectures and can operate at an expert level without hand-holding.

Key Responsibilities

- Design, implement, and troubleshoot large-scale, high-availability network architectures supporting AI/ML and GPU-accelerated infrastructure

- Lead network integration efforts for NVIDIA-based environments (compute clusters, GPU data centers, AI infrastructure deployments)

- Architect and optimize high-speed interconnect solutions (InfiniBand, RoCE, NVLink, high-speed Ethernet fabrics, etc.) to support AI workload performance requirements

- Design and manage BGP routing architectures and large-scale enterprise/data center networking topologies

- Serve as the senior technical authority on networking for AI infrastructure projects, from design through deployment

- Collaborate with cross-functional teams (systems engineers, project managers, NVIDIA partner resources) to ensure network design aligns with overall infrastructure and performance goals

- Troubleshoot complex, large-scale network issues in production and pre-production environments

- Document network architectures, configurations, and best practices for internal teams and client handoff

- Stay current on emerging networking technologies relevant to AI infrastructure and high-performance computing





Requirements

- CCIE-level expertise or equivalent, extensive real-world experience in enterprise/data center networking

- Multiple completed AI infrastructure deployments — hands-on experience designing and/or supporting network architecture for AI/GPU compute environments

- Direct experience integrating NVIDIA environments (e.g., NVIDIA DGX systems, GPU clusters, AI data center deployments)

- Strong understanding of high-speed interconnect technologies (InfiniBand, RoCE/RoCEv2, NVLink, high-speed Ethernet, or similar)

- Expertise with BGP and large-scale networking architectures, including multi-site, high-availability data center designs

- Deep understanding of network protocols, routing/switching, and data center network design principles

- Solid troubleshooting skills in complex, high-throughput, low-latency network environments

- Excellent communication skills — able to explain complex networking concepts to both technical and non-technical stakeholders

- 8+ years of progressive networking experience, with a strong focus on data center and/or AI infrastructure environments (adjust if you want a different minimum)

Preferred Qualifications

- Active CCIE certification (any track — Data Center, Enterprise Infrastructure, Service Provider)

- NVIDIA certifications (e.g., NVIDIA-Certified Professional/Associate programs) or direct NVIDIA partner ecosystem experience

- Experience with InfiniBand fabric design/management (e.g., NVIDIA Quantum InfiniBand)

- Experience working in system integrator (SI), consulting, or professional services environments

- Familiarity with data center automation/orchestration tools relevant to network provisioning

📌 Network engineer/architect (Hyderabad)
🏢 Thinkwise Consulting
📍 Hyderabad