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
Don't want to miss the next one?
Subscribe to daily email alerts for roles matching your interests.
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.
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
Similar roles you might like
More openings like this one — take a look before you go.
