Principal AI Networking Engineer for GPU Clusters

The Consensus; United States; On-site; USD 248,000 - 269,000; Full time

Job summary

Upscale AI is seeking a Technical Support Lead Engineer with 12+ years of experience to own end-to-end network bring-up for GPU AI clusters and PoCs. You will lead ASIC pipeline tuning, platform readiness, and fabric performance, turning requirements into reproducible configurations that meet utilization and tail-latency targets at scale.

Join the AI Networking team to debug software, develop automation, validate platforms, and work with customers and engineers to ensure outstanding deployment

Qualifications

• Bachelor’s or master’s degree in computer science, Electrical Engineering, or a related field.
• Minimum of 12 years of work experience is required, with at least 3 years of hands-on SONiC or equivalent Network Operating System (NOS) development experience preferred.
• Strong programming skills in Python, Go, or a similar language.
• Solid understanding of Linux, TCP/IP networking, routing, switching, VLANs, and network troubleshooting.
• Experience with PTF (Packet Test Framework) and SPyTest for network validation.
• Familiarity with Linux internals, docker containers.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Knowledge of network ASICs and switch hardware architecture is mandatory.
• Excellent written and verbal communication skills.
• Ability to thrive in a collaborative, fast-paced startup environment with a strong sense of ownership.

Responsibilities

• Design, develop, and maintain features and enhancements for the SONiC NOS platform.
• Debug, troubleshoot, and resolve issues on SONiC platforms.
• Develop and execute debugging and troubleshoot infrastructure.
• Collaborate closely with cross-functional teams including hardware engineers and Test teams.
• Participate in code reviews, architecture discussions, and documentation efforts.
• Develop support strategies to root-cause Networking ASICs and Networking Systems issues.
• Develop debugging tools, for Traffic monitoring and Performance measurements.
• Debug issues across software, Linux systems, networking stacks, and distributed infrastructure.
• Be a point of contact for customer deployments, integration testing, proof-of-concepts, and field issue resolution.
• Build tools that improve deployment efficiency, observability, telemetry, and automated testing.
• Collaborate with software, infrastructure, QA, and product teams to identify root causes and deliver robust solutions.
• Contribute to backend services, APIs, orchestration components, and infrastructure automation.
• Document technical findings and communicate effectively with engineering teams and customers.

Skills

Python

Go

Linux

TCP/IP networking

Network troubleshooting

Education

Bachelor's or master's degree in CS/EE

12+ years experience in networking/SONiC NOS

Tools

PTF

SPyTest

Docker

ethtool

Devlink

Job description

Upscale AI is seeking a Technical Support Lead Engineer with 12+ years of experience to own end-to-end network bring-up for GPU AI clusters and PoCs. You will lead ASIC pipeline tuning, platform readiness, and fabric performance, turning requirements into reproducible configurations that meet utilization and tail-latency targets at scale.

Join the AI Networking team to debug software, develop automation, validate platforms, and work with customers and engineers to ensure outstanding deployment