[Hiring] Senior Director, On Device Applied ML, IE-IOT @Qualcomm

Role Description

This leadership role will be based in San Diego, CA/Santa Clara, CA or remote within the U.S.

We are looking for a dynamic and experienced Senior Director of Engineering to lead our IE-IOT Applied AI IoT Team. In this role, you will be responsible for driving the strategic vision, development, and execution of the AI platform and machine learning algorithms that will empower Qualcomm's IoT Product Groups to deliver innovative AI-powered experiences to our IoT customers.

• You will oversee AI experience on all IE-IOT chipsets for customers.
• In charge of IE-IOT AI end to end execution: work with internal Qualcomm teams which provides AI Tools for Qualcomm Chipsets, Customer Engineering team who frontends customer’s AI needs, Edge Impulse team who provides the E2E AI experience for developer first community, CV/Voice AI teams who provide algorithms, own and drive GenAI deliverables, AI HUB team who owns the model onboarding experience for Qualcomm.
• Hire and lead a high-performing IoT global engineering team responsible for the development and optimization of Qualcomm's IE-IOT AI Portfolio, including ML algos for predictive and generative AI.
• Develop and execute a strategic roadmap for the AI Platform, ensuring alignment with companywide IoT objectives and product group requirements.
• Collaborate cross-functionally with product, design, and engineering teams to deliver world-class AI-powered experiences.
• Drive technical excellence and innovation within the organization, promoting leading-edge AI and ML technologies and best practices.
• Build a culture of continuous learning and improvement, fostering an environment that encourages experimentation, innovation, and calculated risk-taking.
• Attract, retain, and develop top engineering talent, providing mentorship, guidance, and career development opportunities.
• Serve as a subject matter expert with respect to AI platform, infrastructure and capabilities that can help drive accelerated impact across the company’s IoT BU using AI.

Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 10+ years of Systems Engineering or related work experience.
• OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 9+ years of Systems Engineering or related work experience.
• OR PhD in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience.

Requirements

• Master’s degree or PhD in computer Science, engineering, or a related technical field of study.
• 13+ years of experience in software engineering, with a focus on AI and machine learning applications.
• 4+ years of experience in a leadership role, managing and scaling engineering teams.
• Proven track record of building and deploying AI platforms and machine learning applications at scale.
• Strong understanding of machine learning frameworks, tools, and technologies, with expertise in at least one major platform.
• Demonstrated commitment to continuous learning and staying current with the latest trends and advancements in AI and ML technology.

Benefits

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 .