Forward-Deployed Engineer, AI Fabric

Location: US - Headquarters; on-site. Customer travel and on-call work are part of the role.

Company

hirify.global builds high-performance infrastructure and networking systems for demanding artificial intelligence workloads.

What you will do

• Own complex AI fabric and system issues end-to-end, from intake and triage through root-cause analysis, workaround delivery, and verified fixes.
• Reproduce production failures in the lab, including packet loss, latency, retransmits, ECMP behavior, and PFC/ECN interactions.
• Serve as an escalation point for engineering and provide clear, reproducible problem statements when development support is required.
• Improve AI agents by contributing detection signatures, classification logic, resolution recommendations, labeled data, and feedback from field cases.
• Work directly with customers to understand fabric topologies, workloads, and operational constraints, communicating findings to technical and non-technical stakeholders.
• Identify product supportability gaps, improve diagnostics, maintain detection capabilities, and work with source code to understand behavior and validate fixes.

Requirements

• 5+ years of hands-on experience with high-speed data-center switching platforms at scale.
• Deep Ethernet troubleshooting experience covering L2/L3 forwarding, ECMP, packet-level analysis, BGP, route reflectors, and fabric-scale deployments.
• Experience troubleshooting QoS, including PFC, ECN, DSCP, and queue management.
• Background with ASICs, FPGAs, chassis platforms, pluggable optics, fiber links, DOM telemetry, NOS, firmware, and drivers.
• Proficiency with Linux, system administration, log analysis, streaming telemetry, counters, event-driven diagnostics, and complex lab test scenarios.
• Experience contributing to or training ML/AI systems, plus clear written, verbal, and customer-facing communication skills.

Nice to have

• Experience with SONiC or other open network operating systems.
• Familiarity with AI data-center networking, GPU clusters, NCCL, RDMA/RoCEv2, NVIDIA Spectrum, BlueField, or ConnectX.
• Understanding of Ultra Ethernet Consortium specifications, PCIe architecture, Ixia/Keysight equipment, HFT telemetry, or WJH event data.

Culture & Benefits

• Work on foundational infrastructure for high-performance AI workloads.
• Operate in a small, high-performing team that values ownership, technical rigor, and speed.
• Collaborate globally while working directly with customers and spending time on site when needed.
• Participate in an on-call rotation as the global team expands to reduce out-of-hours coverage.

Hiring process

• Accessibility accommodations are available throughout the hiring process upon request.