Bosch is looking to solve the problem of developing and deploying cutting-edge L2+ and L3 ADAS solutions, and is seeking a Head of Autonomous Driving Technology & AI Development to lead the technical vision, strategy, and execution for global advanced driver assistance systems development and deployment.
Requirements
- Master's or PhD in Computer Science, Electrical Engineering, or a related field.
- Deep understanding of cloud-based infrastructure and platforms (AWS, Azure, GCP).
- Experience with data lifecycle management, including data acquisition, processing, and storage.
- Proficient in C++, Python, and other relevant programming languages.
- Experience with ADAS system architecture and development, specifically for L2+ and L3 autonomy.
- 10+ years of experience in software engineering, with a focus on embedded systems, automotive, or robotics.
- Significant experience in data-driven software development, including ML/AI.
Responsibilities
- Lead ADAS Technology Strategy: Define and execute the North American ADAS technology roadmap, aligned with global Bosch strategy and customer needs.
- Drive Innovation: Foster a culture of innovation and explore emerging technologies to maintain Bosch's leadership in the ADAS space.
- Build and Manage High-Performing Teams: Lead, mentor, and inspire a team of highly skilled engineers, fostering collaboration and individual growth.
- Global Collaboration: Work closely with global ADAS teams, including engineering, product management, and research, to ensure alignment and leverage synergies across regions.
- AI Development Ecosystem Ownership: Build and lead a global team of key stakeholders & contributors to define the data lifecycle and business processes for continuously developing and deploying ML-based ADAS systems globally
- Oversee the design and evolution of the ADAS system delivery ecosystem, encompassing data acquisition, processing, model training, testing, validation, and deployment.
- Ensure seamless integration of AI models into the broader ADAS software architecture and contribute to the overall platform strategy.
Other
- Strong leadership skills and experience managing large, geographically dispersed teams.
- Excellent communication and interpersonal skills, with the ability to interact effectively with senior management and external stakeholders.
- Familiarity with automotive industry standards and regulations.
- Ability to quickly adapt to new business challenges and translate them into new cloud-based architecture solutions catering to a global multi-customer landscape.
- Master's or PhD in Computer Science, Electrical Engineering, or a related field.
