Senior Director, On Device Applied ML, IE-IOT

Senior Director Of Engineering

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.

Responsibilities

• 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

Minimum Qualifications:

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

Preferred Qualifications:

• Master's degree or PhD in in computer Science, engineering, or a related technical field of study.
• 15+ years of experience in software engineering, with a focus on AI and machine learning applications
• 6+ 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
• 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

In addition to experience, the successful candidate will have demonstrated competencies in the following areas:

• Strategic Execution: Ensures execution plan drives key strategic priorities and company goals; has significant impact on the direction of a large number of critical projects. Drives timely, complex, and strategic decisions that have a global reach and/or significant business or financial impact while adhering to Qualcomm standards of ethical behavior.
• Coaching & Development: Provides leadership across organizations (e.g., creates a strategy for organization development, develops a strong talent pipeline/workforce and drives talent development to execute present and future business priorities, sets clear expectations for departments, drives coaching and mentoring relationships, creates a culture of inclusion and learning) and motivates peers, senior leaders, and employees to align individual, team, department, and organization development with the broader vision and goals of the company.
• Impactful Innovation: Inspires stakeholders, the company culture, and the industry with a visionary approach that shapes the organization by introducing and enabling breakthrough ideas, products, and/or processes. Creates new business opportunities by challenging the organization to push boundaries while taking the appropriate risk and anticipating future needs.
• Clear Communication: Translates the strategic vision into succinct and impactful messages that inspires and connects efforts to the broader vision and goals of the company. Acts as a champion for proactive, open, respectful, and inclusive discussions.