Head of Autonomous Driving Technology & AI Development

What you'll do

• Define and execute the North American ADAS technology roadmap and architectural vision.
• Lead and mentor a high-performing engineering team through resource allocation and performance management.
• Build and manage a global data-driven platform for training, testing, and deploying AI models.
• Oversee the design of the ADAS delivery ecosystem, including data acquisition and model validation.
• Implement modern software development and DevOps practices like CI/CD and Agile across the development lifecycle.
• Manage relationships with key automotive customers and partners to shape future product development.
• Ensure seamless integration of AI models into the broader ADAS software architecture.

What we're looking for

• Master's or PhD in Computer Science, Electrical Engineering, or a related field.
• At least 5 years of experience leading complex software projects from concept to production in the ADAS domain.
• Experience with ADAS system architecture and development, specifically for L2+ and L3 autonomy.
• Deep understanding of cloud-based infrastructure and platforms such as AWS, Azure, or GCP.
• Experience with data lifecycle management, including data acquisition, processing, and storage.
• Proficiency in C++, Python, and other relevant programming languages.
• Strong leadership skills with experience managing large, geographically dispersed teams.
• 10+ years of experience in software engineering with a focus on embedded systems, automotive, or robotics (preferred).