Intel AI and Analytics group is looking for a passionate experienced engineering manager that is not afraid to take on ambiguity and tackle new challenges. We want a manager which would be able to balance between tactical versus strategic directions and be able to deliver on values for our customers. The manager will manage a team of software professionals responsible for delivering results across a broad range of AI software engineering including architecture, research, development, design, debugging, testing, and optimization across training, inference, and all necessary end-to-end activities. May also direct AI software professionals responsible for enabling or optimizing customer products and solutions through customer co-engineering and providing high-quality and stable platforms for integrated hardware and software. Expertise spans systems AI software, firmware, drivers, machine learning and deep learning software, development tools, AI enterprise applications, AI consumer applications, and user interfaces. May also be responsible for developing and maintaining a healthy portfolio of ecosystem partners and provide architectural and technical guidance to ensure sound engineering practices are followed. Provides direction and goals to the group and interacts with stakeholders both internal and external. Sets priorities for the team, achieve results across boundaries, ensures an inclusive work environment, develops employees, and manages performance.

Responsibilities are, but are not limited to:

• Defining the AI group Strategy and Roadmap
• Work closely and in collaboration with the product team
• Work to technically grow AI developers' community
• Gain a deep understanding of customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth
• Translate customers and community needs into detailed requirements
• Scope and prioritize activities based on business and customer impact
• Work closely with clients, partners, business units, QA, Product and Engineering teams to elicit requirements and deliver with quick time-to-market and optimal resources
• Work to ensure product high standards and quality

Behavioral Traits:

• Strong problem-solving skills and willingness to roll up one's sleeves to get the job
• Skilled at working effectively with cross-functional teams
• People management and leadership experience
• Excellent written and verbal communication skills
• Willing to adjust and apply this knowledge in a dynamic environment using agile methodologies

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

• Bachelor+ degree in Computer Science, Computer Engineering or related field ("Cedula Profesional" may be required)
• 8+ years of experience in Machine learning, data science methodologies and processes.
• 6+ years of experience in System Design and architecture
• 10+ years of experience managing and building software teams
• 8+ years of Agile development methodology

Preferred Requirements:

• Cloud-native technologies like Kubernetes, docker and containers
• Product management, Strategic planning, Agile development processes, Process definition
• Turning product vision and strategy into well-articulated business requirements, as well as using qualitative and quantitative data effectively to inform product direction
• Product management processes
• Kubernetes (CKA) certification
• PMP certification

Requirements listed would be obtained through a combination of industry-relevant job experience, internship experiences and or schoolwork/classes/research.

The Machine Learning Performance (MLP) division is at the leading edge of the AI revolution at Intel, covering the full stack from applied ML to ML / DL and data analytics frameworks, to Intel oneAPI AI libraries, and CPU/GPU HW/SW co-design for AI acceleration. It is an organization with a strong technical atmosphere, innovation, friendly team-work spirit, and engineers with diverse backgrounds. The Deep Learning Frameworks and Libraries (DLFL) department is responsible for optimizing leading DL frameworks on Intel platforms. We also develop the popular oneAPI Deep Neural Network Library (oneDNN), and new oneDNN Graph library. Our goal is to lead in Deep Learning performance for both the CPU and GPU. We work closely with other Intel business units and industrial partners. 

Position of Trust

This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter....

Work Model for this Role

This role will require an on-site presence.