Senior Staff DevOps Engineer – Scaleup
at Upscale AI · 51-100 employees
Series A · $190M · Jun 2026
- Seniority
- Staff Principal
- Employment
- Full Time
- Location
- US - Headquarters
- Posted
- 5d ago
at Upscale AI · 51-100 employees
Upscale AI is a Santa Clara–based startup building synchronized AI-cluster networking that integrates GPUs, accelerators, storage and networking.
Why join Upscale AI Upscale AI is building the high-performance infrastructure powering the next generation of artificial intelligence. Backed by over $300M in funding and rapid global adoption, we are scaling systems designed for the world’s most demanding AI workloads. We focus on first-principles engineering across silicon, systems, and networking—where performance, scale, and execution are critical. Our team is talent-dense and high-performing. We value ownership, technical rigor, and speed, and we offer the opportunity to work on foundational problems with immediate, real-world impact. If you’re looking to do high-impact work, move fast, and help define the infrastructure behind the future of AI—Upscale AI is where you can produce meaningful work at the frontier—and operate at a high standard. About the role AI training and inference clusters live or die on the network fabric. ScaleUp builds the software that programs our high-performance Ethernet switch silicon — SDK, SAI, simulation, and the CI that keeps that stack shippable. We’re looking for a DevOps engineer at the intersection of AI infrastructure, data-center networking, and silicon-aware software: reliable pipelines for an ASIC SDK, fast feedback for developers, and release paths worthy of cloud- and AI-scale deployment. You’ll partner with SDK, SAI, and QA engineers, and work in GitHub + Jira day to day. Success means CI is trusted, simulation and software gates are clear, and infrastructure never blocks the next generation of AI networking features.