CASY-MSCCN Jobs

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

Seeking an experienced AI software engineer for a role as a Software architect focused on Snapdragon Mobile Handset products.

Responsibilities:

• Develop architecture for complex features and experiences built around AI for Snapdragon Mobile products; recommend architecture enhancements.

• Independently research and work cross-functionally to define requirements. Hands on prototype development.

• Serve as a technical expert in developing and commercializing solutions; participate in design reviews and recommend improvements to ensure alignment with business goals and customer needs.

• Influence and negotiate with external partners to gain buy-in for ideas and align on project and subsystem implementation plans and milestones to ensure the needs of all stakeholders are met.

• Act as a technical expert on AI and Mobile industry trends, competitors' products, and advances in various engineering fields; share expertise within and/or across teams.

• Leverages technical expertise to identify trends and define future solutions by contributing to discussions on the short - and long-term strategic direction of the product/technology roadmaps.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Preferred Qualifications:

• Strong background in machine learning ,deep learning , On-device AI / TinyML and embedded systems.

• 5+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).

• Proficiency in AI runtimes such as TFLite, PyTorch Mobile, and ONNX Runtime.

• Experience with model compression techniques (quantization, pruning).

• Familiarity with edge AI devices and their constraints (memory, power, compute).

• 5+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.

• 5 + Experience with one or more programming language suitable for embedded development (e.g. C, C++, Java). Proficiency in Python for ML related tasks.

• 5+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).

• Developed 1+ novel Machine Learning architecture(s).

• 3+ years experience working in a large matrixed organization.

• Excellent problem-solving skills and ability to work independently.

• Strong communication and collaboration skills.

• 2+ years of work experience in a role requiring interaction with senior leadership (e.g., Director and above).

• 1+ year in a technical leadership role with or without direct reports (only applies to positions with direct reports).

Principal Duties and Responsibilities:

• Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.

• Models, architects, and develops highly advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.

• Develops critical optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design and development.

• Leads the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.

• Develops, adapts, or prototypes novel machine learning solutions aligned with and motivated by proposals or roadmaps for complex products and system-level features.

• Oversees and provides technical expertise to others conducting experiments to train and evaluate machine learning solutions.

Level of Responsibility:

• Works independently with minimal supervision.

• Provides supervision/guidance to other team members.

• Decision-making is significant in nature and affects work beyond immediate work group.

• Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.

• Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).

• Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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:

$168,500.00 - $252,500.00

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!

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