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Updated 2026-06-24 17:00 UTC·© 2025–2026 RoleSuite
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Machine Learning Engineer -Ethernet/IP networking, including L2/L3 forwarding, BGP, ECMP, EVPN/VXLAN, VRFs, ACLs, QoS, 5 to 8 years

Cisco · Bangalore, India

Meet the Team 

You will join Cisco's AI infrastructure networking team, focused on validating high-performance Ethernet fabrics for AI/ML workloads and helping customers and partners deploy scalable, resilient data center networks.

Your Impact 

In this role, you will plan and run AI/ML infrastructure benchmarks, validate fabric designs, and translate results into reference architectures, deployment guidance, and customer-ready recommendations. The work connects lab validation with real customer outcomes across switching, host networking, RoCE fabrics, automation, and telemetry.

  • Plan, execute, and analyze AI/ML network benchmarks covering throughput, latency, congestion, incast, failover, path diversity, and workload performance.
  • Design, implement, and validate L3 leaf-spine fabrics for AI infrastructure using eBGP/iBGP, BGP unnumbered, EVPN/VXLAN, VRFs, ECMP, multi-tenancy, and SRv6.
  • Define benchmark methodology, KPIs, pass/fail criteria, repeatability requirements, and reporting for AI Ethernet/RoCE fabrics.
  • Run performance tests with NCCL, RCCL, ib_write_bw, ib_read_bw, ib_send_bw, ib_write_lat, netperf, iperf, MPI, OSU benchmarks, and microburst methods.
  • Create validated designs, reference architectures, configuration templates, runbooks, benchmark reports, and deployment recommendations for customers and engineering stakeholders.

Minimum Qualifications

  • 4-6 years of hands-on experience in infrastructure benchmarking, network validation, data center networking, AI/cloud infrastructure, network implementation, or systems performance engineering.
  • Hands-on experience designing, configuring, and troubleshooting L3 leaf-spine fabrics.
  • Strong understanding of Ethernet/IP networking, including L2/L3 forwarding, BGP, ECMP, EVPN/VXLAN, VRFs, ACLs, QoS, MTU, telemetry, and troubleshooting.
  • Working knowledge of RDMA, RoCEv2, PFC, ECN, congestion control, QoS queues, buffer behavior, and lossless Ethernet concepts.
  • Hands-on Linux and automation experience using Python, Ansible, Bash, Git, and CI/CD pipelines.

Preferred Qualifications

  • Experience with SONiC, NX-OS, switch OS configuration, and network automation workflows.
  • Experience validating switch ASIC behavior, including buffers, schedulers, QoS/queuing, ECMP hashing, traffic distribution, telemetry, and congestion visibility.
  • Familiarity with SRv6, segment routing, uSID, Adj-SID, and policy-based pathing.
  • Experience developing AI-assisted automation workflows using tools such as Copilot, Claude, Cursor, or Codex.
  • Clear written and verbal communication skills, including experience presenting benchmark results, validated designs, and technical recommendations to customers, executives, product teams, and engineering stakeholders.

Why Cisco? 

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. 

We are Cisco, and our power starts with you. 

AI Engineering pay context

Based on 595 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $199K/year, with most offers between $162K and $236K (10th–90th percentile: $129K–$272K).

See the full AI Engineering salary breakdown →
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