As a Senior Technical Fellow, you will be instrumental in defining and driving the technical strategy and architectural vision for our IDT (AI/ML) systems. Your role will involve leveraging your extensive expertise to innovate, ensure system robustness, and maintain the highest standards of quality. This position requires a deep understanding of AI Frameworks and learning techniques, Service Delivery Platforms, Vehicle Data Systems and signal/data collection, Vehicle and mobile operating systems, and the ability to lead and mentor a team of skilled engineers and architects. Key Responsibilities:
- Strategic Leadership: Define and drive the strategic vision for IDT, ensuring alignment with company goals and industry advancements
- Innovation: Lead the development of cutting-edge intelligent drive solutions, incorporating the latest technologies and best practices
- Technical Expertise: Provide deep technical expertise in solutions architecture, AI/ML systems, including personalization & profiling, integration with vehicle systems / value stream solutions, and Service Delivery Platforms
- Mentorship: Mentor and guide a team of engineers, fostering a culture of innovation and technical excellence
- Collaboration: Work closely with cross-functional teams, including hardware engineering, software development, and product management, to deliver high-quality solutions.
- System Integration: Oversee the integration of IDT technologies into vehicle and cloud platforms, ensuring seamless operation and performance
- Performance Optimization: Identify and address performance bottlenecks, ensuring the scalability and efficiency of solutions
- Documentation: Create and maintain comprehensive technical and architecture documentation, design guidelines, and standards
- Stakeholder Engagement: Engage with key stakeholders to understand requirements, provide technical insights, and ensure alignment with business objectives
Basic Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related degree field.
- Minimum of 15 years of experience in automotive or related industries, with a significant portion in architecture and system integration
- Proficiency in multiple programming languages (e.g., C++, Python, MATLAB), and deep knowledge of IDT systems, AI, machine learning, and sensor fusion
- Proven track record of leading and mentoring engineering teams, with excellent communication and interpersonal skills
- Strong analytical and problem-solving abilities, with a focus on delivering scalable and maintainable solutions
- Demonstrated ability to drive innovation and stay current with industry trends and the marketplace
Preferred Qualifications:
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