Lead AI Networking & Infrastructure Engineer

Upscale AI; United States; On-site; USD 248,000 - 269,000; Full time

Job summary

Upscale AI in the United States is seeking a Technical Support Lead Engineer with 12+ years to own end-to-end network bring-up and performance for GPU AI clusters, leading ASIC pipeline tuning and fabric performance. You will design, validate, and optimize networking for scalable AI deployments.

You will debug software, develop automation, validate platforms, and collaborate with hardware and software teams to ensure best customer experiences and robust solutions in a fast-paced startup.

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 networking

Network troubleshooting

Docker

SPyTest

PTF

Education

Bachelor’s or Master’s degree in CS/EE

Tools

PTF

SPyTest

Docker

Linux internals

Job description

Upscale AI in the United States is seeking a Technical Support Lead Engineer with 12+ years to own end-to-end network bring-up and performance for GPU AI clusters, leading ASIC pipeline tuning and fabric performance. You will design, validate, and optimize networking for scalable AI deployments.

You will debug software, develop automation, validate platforms, and collaborate with hardware and software teams to ensure best customer experiences and robust solutions in a fast-paced startup.