Senior Staff Engineer, Quality Assurance

Upscale AI is building high-performance infrastructure for next-generation artificial intelligence workloads. The Senior Staff Engineer, Quality Assurance will develop networking software and automation, validate networking platforms, troubleshoot complex infrastructure issues, and support customer deployments for AI networking systems.

Responsibilities:

• Design, develop, and maintain software supporting networking products, infrastructure services, and deployment automation
• Develop automated tests and validation frameworks covering functionality, regression, performance, scale, and reliability
• Develop QoS Test plans, test strategies and tests to qualify Networking ASICs and Networking Systems
• 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

Requirements:

• 12+ years of experience in Software Engineering, Infrastructure Engineering, QA Engineering, Networking, or a related technical field (strong internships or equivalent project experience are welcome)
• 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 software development, test automation, CI/CD, or system validation
• Strong debugging, analytical, and problem-solving skills
• Excellent written and verbal communication skills
• Ability to thrive in a collaborative, fast-paced startup environment with a strong sense of ownership
• Exposure to AI infrastructure, AI backend networking, or modern data center networking
• Familiarity with AI data center networking concepts such as low-latency Ethernet fabrics, GPU cluster networking, NCCL, RDMA, or RoCEv2
• Familiarity with networking technologies including SONiC, SAI, BGP, EVPN, VXLAN, DPDK, and Kubernetes
• Experience in Software Quality Assurance with Ethernet ASICs in Layer2, Layer3, and Buffer management, Scheduling and Queueing
• Experience with network validation tools such as Ixia, Keysight, Spirent, or similar traffic generation and test platforms
• Experience with distributed systems, cloud infrastructure, deployment automation, or infrastructure-as-code
• Exposure to customer deployments, field engineering, or forward-deployed engineering is a plus