Job Area: Engineering Group, Engineering Group > Systems Test Engineering General Summary: We are hiring a Rack Software Engineer to build and validate software for AI infrastructure racks. The role focuses on rack bring-up, Kubernetes orchestration, AI workload deployment, and system-level validation across multi-node environments. Key Responsibilities Rack Bring-up & Provisioning Automate network, storage, and bare-metal provisioning (e.g., MAAS) Bring up clusters and validate end-to-end rack readiness Kubernetes & Platform Deploy and manage services on K3S/Kubernetes using Helm Ensure HA, scheduling constraints, and zero-downtime upgrades AI Workloads Deploy and benchmark large models (vLLM, disaggregated serving) Analyze latency, throughput, and scaling behavior Accelerator Integration Validate AI accelerator (AI100/AI200) lifecycle, health, and allocation Debug performance and hardware-software interaction issues Observability & Debugging Work on telemetry (in-band + OOB), metrics, and monitoring Debug system, performance, and infra-level issues Automation & Reliability Build automation for testing, deployment, and operations Improve system stability and reliability Multi-Tenancy & Security Implement RBAC, authentication (LDAP/OIDC), and tenant isolation Requirements 3–6+ years in systems / infrastructure software Strong in: Kubernetes, Linux, networking Python / Go / scripting Distributed systems & debugging Preferred Experience in AI/ML infra or inference systems Familiarity with MAAS, Helm, Ansible, Prometheus/Grafana Exposure to accelerators (GPU / AI ASICs) What We Look For Strong debugging skills across HW–SW stack Experience in bring-up and scaling of complex systems Ownership mindset for end-to-end stability Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Test Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Test Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field.

About Qualcomm

Qualcomm is a prominent American technology company based in San Diego, California, with a rich history of nearly 40 years in wireless telecommunications and semiconductor technology. Founded in 1985, Qualcomm is known for its pioneering work in Code Division Multiple Access (CDMA) technology, which has significantly influenced mobile communications and the development of modern cellular networks. The company offers a wide range of products, including integrated circuits, system processors, audio components, wireless networking solutions, radio frequency components, sensors, and system software. These products are utilized in various applications such as mobile devices, enterprise networks, automotive connectivity, and smart home systems. Qualcomm serves a diverse customer base, including mobile device manufacturers, network operators, and automotive companies, playing a vital role in the global wireless communication ecosystem.