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 AI Systems Solution Architect, you will develop leading-edge products and solutions around best-in-class Qualcomm high-performance inference accelerators for cloud, edge and hybrid AI applications. In this leadership role, you will be engaged with key customers and internal hardware and software teams, product and project management, business development leads and other key stakeholders/executives and partners to drive overall system solutions. This covers a broad range of technical tasks, starting from industry leading and customer specific use cases, a spectrum of technologies to define AI/ML system solutions, ML models (including GenAI/LLMs) and optimization and efficient and scalable deployment on inference accelerators.

Qualcomm AI Systems engineers collaborate across functional teams to meet and exceed system-level requirements and standards. This is your opportunity to work on the leading edge AI technologies and systems, current product and future roadmap designed for AI inference acceleration and to addresses unique requirements in energy efficient AI compute.

See more here:

https://github.com/quic/cloud-ai-sdk

Minimum Qualifications:

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8 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 7 years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Science, Engineering, Information Systems, or related field and 6 years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Minimum Qualifications:

• Master's degree in Engineering, Information Systems, Computer Science, Physics or related fiel

• 10 years of Industry Experience in Systems engineering

• 5 years of hand-on experience with machine learning workloads and tasks including computer vision, natural language processing and large language models

• Detailed understanding of AI edge and server systems, infrastructure and industry standards

• Leadership experience on projects from architecture, development, design, deployment to production

• Ability to operate in a matrix environment across engineering disciplines and geographies to drive and deliver excellent results

• Experience with development and deployment of scalable GenAI inference solutions on dedicated HW accelerators

• Prior experience directly working with customers from early stage of R&D to production, ecosystem development.

• Skillful in scoping out future generations of products and solutions by collaborating with internal HW and SW teams and external customers

• Knowledgeable about the latest advancements in GenAI hardware and software tools and solutions and latest tech trends in the LLM fields

• Hands-on experience and necessary software skills to develop both prototype and production quality solutions

• Strong problem solving skills and customer focus

• Strong programming skills, especially in Python and debugging skills

• Excellent presentation, communication and collaboration skills

• Track record of diverse and creative projects

Principal Duties and Responsibilities:

• Architect and implement (with a team) AI/ML solutions that bring together Qualcomm AI hardware products, technologies, software, and ecosystem and provide best-in-class performance, power efficiency and scalability

• Apply Systems knowledge and experience to research, design, develop, simulate, and/or validate systems-level software, AI hardware, architecture, deep learning algorithms, and machine learning solutions while ensuring system-level requirements and standards are met

• Develop and analyze system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system

• Work with multi-functional teams including hardware engineers, software developers, performance engineers, and AI researchers to deliver best system solutions and to align ML strategies

• Collaborate with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of systems

• Develop new and innovative ideas (e.g. IDFs) for a product or feature area.

• Drive triage of problems at the system level to determine root cause and presents results of testing and debugging to team members

• Foster partnership with key customers. Engage with end customers such as CSPs, enterpris,, OEMs, ML system and software companies to understand ML use-cases, requirements, and opportunities for Arm

• Keep abreast with the latest advancements in the AI/ML space (models, HW/SW), competitive analysis and drive innovative solutions.

• Support Product Management and Executive teams on defining AI/ML requirements for software and next-gen technology (hardware/software)

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 Qualcomms 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:

$216,000.00 - $324,000.00

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!

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