Principal AI/ ML Robotics Engineer - Environmental Perception

Principal AI/ ML Robotics Engineer - Environmental Perception

AMD - Advanced Micro Devices

Milan or Assago, Italy

About the Role

As a Principal AI/ML Software Engineer, you are a recognized expert who drives ML technology strategy and innovation across the organization. This role involves developing novel ML solutions for the most complex problems, influencing organization-wide technical decisions, and leading cross-functional initiatives. You will define the technical vision for AI/ML, guide organizational practices, and serve as a technical authority while building and leading high-performing teams that push the boundaries of what's possible with ML technology.

Key Responsibilities

• Drive ML technology strategy and innovation across the entire organization
• Lead cross-functional ML initiatives that transform business capabilities
• Develop novel ML solutions for the most complex and challenging problems
• Define technical vision and architectural frameworks for AI/ML initiatives
• Influence organization-wide technical decisions and technology adoption
• Guide organization-wide ML practices, standards, and innovation roadmap
• Build and lead high-performing teams that deliver breakthrough ML solutions

Must Have Skills

• Distinguished ML/AI Expertise: Recognized authority in machine learning with comprehensive knowledge across multiple domains
• Advanced System Architecture: Ability to architect enterprise-scale ML systems that integrate with complex technology ecosystems
• Technical Vision and Strategy: Capacity to develop and articulate long-term technical vision that aligns with business strategy
• Cross-Functional Leadership: Proven ability to lead and influence across organizational boundaries at executive levels
• Research and Innovation: Track record of applying cutting-edge ML research and driving innovation that creates competitive advantage
• Thought Leadership: Demonstrated ability to establish thought leadership within the organization and the broader industry

Preferred Education and Experience

• Master's or PhD in Computer Science, AI/ML, or related field
• 12+ years of relevant experience in machine learning engineering and leadership
• Proven track record of technical leadership in ML/AI with industry recognition
• Significant contributions to the field through publications, patents, or innovative solutions