We are looking for a passionate and highly motivated Principal Engineer/Researcher for conducting research in AI and/or data platforms & related software and systems for next-gen mobility services. The primary responsibility of this role is to research new and emerging AI or data technologies and to develop new data capabilities for mobility and connected technologies.
He/She will participate in the R&D activities to build and advance AI and data infrastructure. Reporting to the General Manager, the person in this role will support the Infrastructure and Data Platform Department's objective to develop a next-generation AI and data platform capable of handling millions of vehicles and providing MaaS (Mobility as a Service).
The ideal candidate will possess strong expertise in AI and data technologies, a proven track record in conducting impactful research, and the ability to lead projects from concept to implementation. This individual should have a deep understanding of machine learning algorithms, data architecture, and scalable data systems, along with excellent communication and teamwork skills.
Responsibilities:
- Define research goals & tasks for AI and/or data technology.
- Work with university researchers on emergent AI and data technologies and algorithms.
- Research and develop data platforms (open source, commercial) that can be used widely across multiple business services including battery, supply chain, marketing, mobility, ChatGPT for support, etc.
- Innovate and develop new data capabilities.
- Generate patents and publications.
- Lead discussions of multiple products/applications using emerging data and AI technologies.
- Research and develop new capabilities within the data domains (data ingest, data integration, data labeling, data cleansing, data processing, data and AI analytics, data management).
- Develop innovative ideas and solutions for AI and data domains that deliver:
- Better performance and scalability
- Lower cost and reduced latency
- High availability and redundancy
- Observability and reliability
- Encryption, security, etc.
- Conduct PoC and benchmark data services/capabilities to compare performance, costs, and other criteria.
- Establish research collaborations with leading experts in universities and industry consortiums.
- Mentor and train junior researchers in the group/department.
- Transfer technology research to advanced development or valuable business contributions to the company.
- Obtain patents and publish research in prestigious journals and conferences.
- Regularly champion research and present/influence at VP and GVP levels, showcasing expertise in AI or data technology.
- Evangelize the importance of AI, generative AI, and AI platforms, and create a vision and roadmap.
Requirements:
- PhD in Computer Science, Math, Statistics, or a related field is a must.
- Broad knowledge of Computer Systems, Software Engineering, and Embedded Systems
- Hands-on experience in R&D with proven credentials in patents and publications - 5 years
- Strong familiarity with end-to-end data services/domains and technologies, including:
- Data Ingest (ETL, ELT, File, Streaming, Queue, etc.)
- Data Integration (Quality, cleansing, labeling, API, etc.)
- Data Processing
- Data Access
- Data Analytics (familiarity with various tools)
- Databases (unstructured and structured – SQL, NoSQL, Vector, RDMBS, etc.)
- Data Storage Technology (SSD, HDD, etc.)
- Memory/Cache
- PoC and Benchmarking experience in AI or data infrastructure
- Strong research interest in data areas where data is the foundation for AI computing
- Research experience with data infrastructure, platform development, IoT, etc. - 3 years
- Experience with advanced data platforms, distributed cloud systems & architecture including data management, data ingestion, data analytics, data processing, data observability for infrastructure, data normalization, clustering, logs, tools, monitoring, etc. - 3 years
- Hands-on prototyping and programming knowledge (e.g., Python, SQL/NoSQL, Kafka, Spark, etc.) - 3 years
- Managed research projects, e.g., planning, reporting, and managing time/team/outside collaborators - 3 years
- Well-developed interpersonal and communication skills, including the ability to respond professionally in all types of situations
- Experience working and communicating in multicultural and multinational companies - 2 years
