Senior Director – Engineering – AI – IoT Solutions – Multimedia Systems

Senior Director – Engineering – AI – IoT Solutions – Multimedia Systems

Requirements

• Master’s degree or Ph.D. in Computer Science, Electrical Engineering, or related field.
• 14+ years of Systems Engineering or related work experience.
• 2+ years of experience working in one or more multimedia technology areas (i.e., speech, audio, imaging, computer vision, display, sensing, biometrics, augmented/virtual reality).

Responsibilities

• Aligns multiple teams to address issues and generate solutions; creates well-defined architectures that meet ambiguous requirements and/or have a financial impact; works with multiple engineering teams across the systems department on design, development, modification, and evaluation of systems-level software and hardware.
• Executes on design reviews; uses industry expertise to drive platform development and system performance; reinforces design integrity based on constraints and/or capabilities.
• Leads cross-functional efforts to ensure customer requirements are gathered and agreed upon; communicates a technical vision for guiding the department to design products and solutions.
• Oversees technical vision for testing; guides multiple teams through tests, data analysis, and validation of design in alignment with product/technology roadmap; provides oversight on architectural decisions related to multimedia systems-level software, hardware, and/or products across multiple teams.
• Educates multiple teams on using appropriate tools and analyses; provides guidance to address patterns of issues and implications for work; coordinates multiple teams to address issues.
• Shares the strategy and goals for solutions; reviews escalated algorithm issues to provide direction, coaching, training, connection with other teams, and additional resources; uses deep and broad technical understanding to review advanced/contextual algorithms, provide implications for work across teams, and triage complex technical issues by generating new solutions and involving others; decide how solutions would be partitioned on the SOC level.
• Oversees and provides support to teams handling complex data engineering or data management issues for machine learning solutions within a domain.
• Reviews proposals or roadmaps of various levels of complexity for machine learning solutions; coordinates objectives across multiple teams working on design-related tasks for product proposals within the same department.
• Provides technical expertise to others within the team regarding experiments to train and evaluate machine learning solutions and communicates progress to key stakeholders.
• Evaluates topologies against performance, and cost variables and uses the feasibility findings to review the high-level design for multiple products, product families, or technologies; provides guidance, direction, and decision making; reviews the analysis and recommends complex route/topology that should be used to maximize performance, quality, and costs while reducing risks to the schedule and implementation.
• Acts as an expert resource to others on industry trends, competitors’ products, and advances in various engineering fields related to multimedia systems products and technology; writes technical articles and publications; shares solutions and reviews best practices from open-source community; shares expertise within and/or across the department.
• Leverages deep technical expertise across domains to identify trends and define future solutions by contributing to discussions on the short- and long-term strategic direction of the product/technology roadmaps.
• Reinforces technical conversations across the department; resolves design and technical issues related to technical area of expertise; supports multiple teams in documenting technical and/or overall system issues; participates in patent application reviews.

Preferred Qualifications

• Master’s degree or Ph.D. in Computer Science, Electrical Engineering, or related field.
• 14+ years of Systems Engineering or related work experience.
• 2+ years of experience working in one or more multimedia technology areas (i.e., speech, audio, imaging, computer vision, display, sensing, biometrics, augmented/virtual reality).