Company:Qualcomm India Private Limited
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.

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