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.
Minimum Requirements
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.
Preferred Qualifications
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, telemetry, and observability.
Experience developing platforms, services, or APIs used by multiple engineering teams.
Minimum Qualifications
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
- OR
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
- OR
- PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
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Pay range and Other Compensation & Benefits
$141,300.00 - $211,900.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
