Network Engineer

What You'll Do

• Design and architect front-end network fabrics for AI/ML and HPC clusters, optimizing for high resource utilization, low latency, and high-throughput communication.
• Build proof-of-concept implementations of new network designs and features, and drive them from prototype through production rollout.
• Identify and resolve performance and efficiency bottlenecks across the host-NIC-fabric.
• Automate the deployment, configuration, and validation of network infrastructure using Python, including topology provisioning, fabric bring-up, config generation, and regression.
• Stand up and operate SRE-grade telemetry and observability for the cluster network: streaming telemetry (gNMI, OpenConfig, sFlow/IPFIX), metrics pipelines, alerting, and incident workflows.
• Define the SLIs/SLOs that govern network reliability and drive blameless post-incident analysis.
• Lead network debugging in large distributed-systems environments spanning multiple platforms and protocols, including deep dives into RoCEv2, PFC/DCQCN, ECMP hashing, congestion behavior, and packet-level forensics.
• Lead cross-functional, multi-phase technical projects spanning hardware, firmware, host networking, and cluster software.
• Collaborate with vendors and industry partners to shape network hardware and feature roadmaps.
• Represent the company in industry forums, standards bodies, and technical communities.
• Serve as the central point of contact for network reliability issues across the cluster.

Skills & Qualifications

• Ph.D. in Computer Science or Electrical Engineering with 5+ years of industry experience, or Master's in CS/EE with 10+ years of industry experience.
• Solid experience in designing large-scale networks in datacenter and cloud environments.
• Extensive hands-on experience debugging networking issues in large distributed systems with multiple platforms and protocols.
• Demonstrated track record leading multi-phase, multi-team technical projects to completion.

Technical Skills

• Deep expertise across networking platforms: Juniper, Arista, Cisco, and open-box / disaggregated NOS architectures (SONiC).
• Strong working knowledge of networking protocols and fabric technologies: VXLAN, EVPN, RoCEv2, BGP, DCQCN, PFC, ECN, and streaming telemetry.
• Programming and automation: proficiency in Python (and/or Go) for building network automation, validation, and tooling. Comfort with config generation frameworks (Ansible, Jinja2), gNMI, and CI/CD pipelines for network infrastructure.
• SRE and observability: hands-on experience with streaming telemetry pipelines, time-series databases (Prometheus, InfluxDB), visualization (Grafana), log aggregation, and modern incident-management.
• Ability to define SLIs/SLOs and instrument the network for proactive reliability.
• Familiarity with network visibility, management, and packet-capture/analysis tools.

Strongly Preferred

• Prior experience at hyperscalers or cloud service providers.
• Experience with AI/ML or HPC cluster networking, including lossless Ethernet design, rail-optimized topologies, and collective-communication traffic patterns.
• Track record of contributions to open-source networking projects, standards bodies, or industry conferences.