Technical Support Principal Engineer (AI Network)

Location: US - Headquarters; on-site

Company

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

What you will do

• Own end-to-end network bring-up and performance for GPU AI clusters during customer proof-of-concepts.
• Design, develop, and maintain SONiC NOS features and enhancements.
• Debug software, Linux systems, networking stacks, ASICs, switching platforms, and distributed infrastructure.
• Build tools for traffic monitoring, performance measurement, deployment efficiency, observability, telemetry, and automated testing.
• Collaborate with hardware, software, infrastructure, QA, test, and product teams to identify root causes and deliver robust solutions.
• Support customer deployments, integration testing, proof-of-concepts, field issue resolution, technical documentation, and engineering communication.

Requirements

• 12+ years of professional experience and at least 3 years of hands-on SONiC or equivalent network operating system development experience preferred.
• Bachelor’s or master’s degree in computer science, electrical engineering, or a related field.
• Strong programming skills in Python, Go, or a similar language.
• Strong knowledge of Linux, TCP/IP networking, routing, switching, VLANs, network troubleshooting, and Linux internals.
• Experience with PTF and SPyTest for network validation, plus familiarity with Docker containers.
• Mandatory knowledge of network ASICs and switch hardware architecture, with strong written and verbal communication skills.

Nice to have

• Data-center networking, switch ASIC tuning, and platform bring-up experience.
• RoCEv2 deployments, including ECN/PFC design, DCQCN tuning, DSCP/PCP mapping, and queue shaping.
• SONiC QoS and buffer configuration, Enterprise-OS QoS, and deep buffer and queueing knowledge.
• Optics and PHY expertise, including PAM4, FEC, DOM/RS-FEC counters, autonegotiation, link training, and DAC/AOC selection.
• Experience with network telemetry, benchmarking, EVPN/VXLAN, BlueField DPUs, GPUDirect RDMA, and AI storage fabrics.

Culture & Benefits

• High-performance startup environment focused on technical rigor, ownership, speed, and first-principles engineering.
• Opportunity to work on infrastructure powering next-generation GPU clusters and AI data centers.
• Collaborative work across engineering and customer-facing teams.
• Equal opportunity employer committed to accessible hiring and accommodations.