Software Engineer; Data Center Test Automation

Qualcomm Technologies, Inc.

Engineering Group, Engineering Group >
Software Engineering

Staff Software Engineer, Data Center Test Automation

Job Overview

The DragonX automation team is looking for an experienced Staff Software Engineer to design and develop large-scale software and automation solutions for data center chipset and platform validation.

This is a hands-on software engineering role for candidates with a strong software and systems background who enjoy solving complex engineering problems. The successful candidate will develop scalable automation infrastructure for test orchestration, resource management, test execution, results analysis, and failure triage across pre-silicon and post-silicon environments.

The role requires strong programming and debugging skills, solid systems knowledge, and the ability to take complex technical problems from design through implementation and deployment. The engineer will work closely with software, validation, infrastructure, and SoC teams to deliver reliable automation capabilities used across data center programs.

• Design, develop, test, and maintain software for data center chipset and platform test automation.
• Build scalable solutions for test orchestration, job automation, resource management, test execution, monitoring, results processing, and failure analysis.
• Develop robust software and backend services using Python, REST APIs, databases, distributed systems, and modern web technologies.
• Design reusable APIs and automation frameworks that enable integration of new chipsets, workloads, platforms, and test environments.
• Troubleshoot complex problems spanning software services, automation infrastructure, compute resources, test environments, and target platforms.
• Improve the performance, reliability, scalability, observability, and maintainability of existing automation systems.
• Work closely with data center, SoC, software, validation, and infrastructure teams to translate engineering requirements into practical software solutions.
• Contribute to architecture and design decisions, conduct code/design reviews, and provide technical guidance and mentoring to other engineers.

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent practical experience.
• Strong professional software engineering background with demonstrated experience building complex, production-quality software systems.
• Strong Python programming skills and solid knowledge of software design, APIs, data structures, algorithms, and software engineering best practices.
• Experience with Linux, distributed systems, REST services, databases, SQL, and software automation.
• Experience developing systems that manage parallel or distributed workloads.
• Strong debugging and problem-solving skills across applications, services, infrastructure, and automation environments.
• Ability to independently own complex technical problems from design and implementation through testing and deployment.
• Ability to collaborate effectively across multiple engineering disciplines and contribute to technical design and architecture decisions.

• Experience developing automation or software infrastructure for data center silicon, CPUs, GPUs, AI accelerators, DSPs, NPUs, or heterogeneous SoCs.
• Experience with test automation, validation infrastructure, job orchestration, resource scheduling, or device-management systems.
• Familiarity with data center compute architectures and workloads, including compute-intensive and AI/ML workloads.
• Experience with pre-silicon and/or post-silicon validation.
• Experience with cloud infrastructure, containers, distributed compute, CI/CD,…