Qualcomm India Private Limited
Engineering Group, Engineering Group > Systems Test Engineering
General Summary:
Role Overview
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
- 5–12+ 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 4+ years of Systems Test Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Test Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Test Engineering or related work experience.
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