Algorithm Manager

• Lead a world-class team, with focus on innovative cutting-edge research.
• Oversee algorithmic concept and feasibility for algorithmic modules , including problem statement definition, concept selection, risks, and mitigations.
• Work on high-impact applications, with challenging and diverse semiconductor industry related problems to solve.

Roles and Responsibility

Leadership and Management:

• Lead, mentor, and manage teams of algorithm engineers and researchers.
• Foster a collaborative and high-performance work environment.
• Set clear goals and provide regular feedback and professional development opportunities for the team.

• Oversee the planning, execution, and delivery of complex algorithmic projects developed by the team.
• Ensure projects are completed on time, within scope, and executed efficiently.
• Coordinate with cross-functional teams to align project goals.

• Stay abreast of the latest advancements in computer vision, deep learning, and related fields.
• Provide technical guidance and support to the team, ensuring the use of best practices and innovative approaches.
• Contribute to the development and implementation of robust, scalable, and efficient algorithms.

• Develop and implement a strategic vision for algorithm teams.
• Identify new opportunities and drive the innovation roadmap.
• Collaborate with senior leadership to align team efforts with overall company strategy.

• Facilitate effective communication within the team and with other departments.
• Present technical concepts and project updates to stakeholders, including non-technical audiences.
• Build and maintain relationships with multiple stakeholders (Product, Business, Application.

• Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on computer vision and deep learning.
• 10+ years of experience in computer vision and deep learning.
• 3+ years of leadership or management experience in a technical role.
• Deep understanding of machine learning, computer vision, and deep learning algorithms.
• Proficiency in programming languages such as Python, and frameworks like TensorFlow, PyTorch, or OpenCV.

Skills: