AI Compute Systems Engineer, up to Staff

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General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives communication and data processing transformation to help create a smarter, connected future for all. As a Qualcomm ASIC Engineer, you will define, model, design (digital and/or analog), optimize, verify, validate, implement, and document IP (block/SoC) development for a variety of high performance, high quality, low power world class products. Qualcomm Engineers collaborate with cross-functional groups to determine product execution path.

Minimum Qualifications:

OR

Master's degree in Science, Engineering, or related field and 3+ years of ASIC design, verification, validation, integration, or related work experience.

OR

PhD in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.

This role centers on analyzing AI compute use cases and modeling system-level KPIs to influence Qualcomm’s future AI-first SoC and platform architectures. The engineer will bridge AI workload behavior with process technology and chiplet/3D integration strategies.

Key Responsibilities

- Analyze AI workloads and their dependencies on system KPIs (power, latency, bandwidth).

- Build modeling frameworks (e.g., Python) to evaluate how 3D/heterogeneous architectures impact compute efficiency.

- Collaborate with architecture, systems, and process teams to map AI requirements to chip integration and technology roadmaps.

- Study the interaction among CPU, GPU, NPU and other IP blocks within end-to-end AI pipelines.

- Explore trends in AI compute architectures, accelerators, and chip-integration strategies.

Minimum Qualifications

- Strong understanding of AI use cases and system-level KPI dependencies.

- Basic programming and modeling skills (Python or similar).

- Master’s or PhD in EE/CE/CS or related field.

- 3-8+ years of AI compute, system architecture, or related experience.

Preferred Qualifications

- Knowledge of end-to-end AI pipelines.

- Experience in heterogeneous compute architectures.

- Ability to operate effectively in exploratory R&D environments.

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 [email protected] 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.

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If you would like more information about this role, please contact Qualcomm Careers.