Qualcomm Technologies, Inc. is looking for a Senior Director of Engineering to lead the IE-IOT Applied AI IoT Team and drive the strategic vision, development, and execution of the AI platform and machine learning algorithms to deliver innovative AI-powered experiences to IoT customers.
Requirements
- Strong understanding of machine learning frameworks, tools, and technologies, with expertise in at least one major platform.
- Proven track record of building and deploying AI platforms and machine learning applications at scale.
- Experience with software engineering, with a focus on AI and machine learning applications.
- Experience with AI and machine learning algorithms, including predictive and generative AI.
- Experience with IoT technologies and platforms.
- Experience with cloud-based technologies and platforms.
- Experience with Agile development methodologies and version control systems.
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
Other
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 10+ years of Systems Engineering or related work experience.
- Master's degree or PhD in 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.
- Demonstrated competencies in Strategic Execution, Coaching & Development, Impactful Innovation, and Clear Communication.
