AI Systems Hardware Engineer

Company

Qualcomm Technologies, Inc.

Job Area

Engineering Group, Engineering Group > ASICS Engineering

General Summary

We are seeking a highly skilled engineer to enable highly optimized mapping of AI workloads to Qualcomm’s next generation system-technology solutions for the slowing Moore’s law era.

The focus is on identifying the system and technology bottlenecks for the state-of-the-art and emerging AI workloads e.g. the mixture-of-experts (MoE), multi-tenant vector databases, multimodal physical AI etc.. The E2E system KPIs for mapping these emerging AI workloads include the power, performance and TCO of the entire system encompassing the SoC, memory and networking.

The primary role of the candidate is to map the workloads using both internal and external tools to Qualcomm’s next-gen AI accelerator systems and carry out what-if scenarios of optimizing different underlying components e.g. SoC, memory, networking and other technology features for the best power-performance-TCO trade-off.

The candidate also needs to ensure which AI workloads are relevant for the different business units (BUs) from datacenters to physical AI to computing devices.

To drive these technologies the person will collaborate with high-level representatives across functional teams (e.g. Architecture, product management, SW teams) to enable an implementation strategy that meets system requirements.

The preferred location for this position is San Diego, CA. Qualcomm's Santa Clara and Austin locations may also be considered. The position is expected to comply with the company's onsite work policy and is not eligible for remote work.

Minimum Qualifications

• Bachelor's degree in Science, Engineering, or related field and 6+ years of ASIC design, verification, validation, integration, or related work experience.

OR

Master's degree in Science, Engineering, or related field and 5+ years of ASIC design, verification, validation, integration, or related work experience.

OR

PhD in Science, Engineering, or related field and 4+ years of ASIC design, verification, validation, integration, or related work experience.

Preferred Qualifications

• Thorough understanding of E2E system KPI dependency e.g. power, performance and TCO of emerging AI workloads mixture-of-experts (MoE), multi-tenant vector databases, multimodal physical AI.
• Ability to quickly map newer workloads onto Qualcomm systems using internal and external tools so high proficiency in scripting (python or similar) is required.
• Great knowledge of state-of-art workloads across multiple BUs.
• Master's or Ph.D. in Electrical Engineering, Computer Science, or a related field
• Exceptional creativity to innovate new ideas and develop innovative products/ processes without established objectives or known parameters.
• Verbal and written communication skills to convey highly complex and/or detailed information. Will require strong negotiation and influence with large groups or high-level constituents
• Ability to work independently and as part of a team
• Most tasks do not have defined steps; simultaneous use of multiple mental abilities is generally required to determine the best approach
• Deductive and inductive problem solving is required; multiple approaches may be taken/necessary to solve the problem; often information is missing or conflicting; advanced data analysis and interpretation skills are required.

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.

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Pay Range And Other Compensation & Benefits

$164,000.00 - $246,000.00

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.