DevOps Engineer

We are looking for an experienced DevOps Engineer to help deliver the future of AI on DSPs. Our team manages the cross-site infrastructure and tools that enable Qualcomm's ML teams to deliver products to customers.

We manage a server farm of embedded phone-like devices and the infrastructure (CI/CD, tooling, automation) which enables software developers to run workloads at large scales (400,000+ tasks per day).

Our team focuses on maintaining the physical server farm and developing and enhancing the automation around it.

* Develop, maintain, and optimize our CI/CD pipelines to support large-scale software delivery.

* Administer Jenkins infrastructure, including job configuration, plugin management, and performance tuning.

* Monitor and troubleshoot build systems, ensuring high availability and rapid response to issues.

* Scale infrastructure to meet growing demands and proactively address performance bottlenecks.

* Ensure security, compliance, and best practices across build and deployment systems.

* Bachelor's degree in computer science or relevant discipline. A master's degree is preferable.

* Advanced experience with industry standard CI/CD pipeline automation and tooling (e.g., Jenkins, GitHub CI).

* Advanced debugging skills; able to clearly articulate past examples of resolving complex build, deployment, and infrastructure issues.

* Advanced-level skills in Linux system administration, including Docker, Git, NFS.

* Experience with database administration and data visualization tools.

* Experience with on-premises batch compute systems like LSF, SGE, or similar.

* Excellent verbal and written communication skills to work effectively within a cross-functional team spanning. several time zones

- Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 4+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.

Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 3+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.

PhD in Electrical Engineering, Computer Science, Computer Engineering, or related field and 2+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.

- 2+ years of experience with high-performance microprocessor design.