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Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

We are looking for an experienced hands-on individual for our on-device applied ML team. If you like optimizing ML models to on-device AI accelerators to get the best power, performance and accuracy this role is for you. In IE-IOT BU we optimize a variety of ML models: GenAI, Vision AI, best in class LLMs, to state-of-the-art VLAs (vision language action models).

Qualcomm is a company of inventors that has the best on-device AI HW/SW in the industry. Qualcomm’s IE-IOT BU creates the best edge-AI solutions for Robotics, IP Cameras, Drones and on-prem Edge AI boxes. The candidate will be working with cutting edge AI research teams inside and outside Qualcomm, responsible for evaluating, and optimizing AI models to Qualcomm’s Hexagon NPU.

Responsibilities:

• Work with world renowned customers from various fields like robotics, at home devices, drones, IP cameras, enterprise solutions and understand their ML needs.

• Analyze and optimize various ML models on various classes on Hexagon NPU.

• Understand benefit/drawback of various quantization schemes, use internal tool chains to control loading, execution and scheduling of various models.

• Perform system level analysis of concurrent ML model execution and daisy chaining ML models including Vision AI, Gen AI and VLA models.

• Provide technical leadership to R&D team

• Coordination between cross functional/geo teams

Minimum Qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, Electronic Engineering, or related field and 8+ years of Software Engineering or related work experience.

OR

Master's degree in Computer Science, Electrical Engineering, Electronic Engineering, or related field and 7+ years of Software Engineering or related work experience.

OR

PhD in Computer Science, Electrical Engineering, Electronic Engineering, or related field and 6+ years of Software Engineering or related work experience.

Education and Qualifications:

+ Master’s degree or equivalent in Engineering, Information Systems, Computer Science, or related field

+ 10+ years knowledge and experience of embedded systems and system on chip micro-architecture

+ 10+ years knowledge and experience of DSP architectures, optimization and acceleration of algorithms on DSP

+ Prior experience with technical leadership responsibility

Preferred Qualifications:

+ Doctorate in Engineering, Information Systems, Computer Science, or related field

+ 10+ years of experience with IOT/Embedded industry with focus on low level programming

+ Prior experience with high performance embedded programming preferred

+ Hands-on knowledge of TensorFlow, TFLite, Pytorch, ONNX

+ Expertise in Machine Learning and Data Modeling, especially image/video related data

+ Experience in Natural Language Processing is a plus

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 (https://qualcomm.service-now.com/hrpublic?id=hr\_public\_article\_view&sysparm\_article=KB0039028) . 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).

**To all Staffing and Recruiting Agencies** : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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.

Pay range** **and Other Compensation & Benefits** **:

$180,000.00 - $270,000.00

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 (http://www.qualcomm.com/contact/corporate) .

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification