CW Principal Engineer/Researcher Data and AI Platform Solutions (Data Focus)Engineer PhD Degree (99W207)
Principal Engineer / Researcher Data and AI Platform Solutions (Data Focus) Engineer PhD Degree
Description :
Who we're looking for
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 next generation AI and data platform capable of handling millions of vehicles and provide MaaS (Mobility as a Service).
What you'll be doing
Define r esearch 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) where this platform 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 number of 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 reduce latency
High Availability and Redundancy
Observability and Reliability
Encryption, Security , etc.
Conduct PoC and benchmarks data services / capabilities t o compare performance, costs and other criteria.
Establish research collaborations with leading experts in universities and industry consortiums
Mentoring and training junior researchers in group / department wide
Technology transfer ITL research to advanced development or valuable business contribution to the company
Obtain patents and publish research in prestigious journals and conferences
Regularly champion research and present / influence to VP and GVP level and show AI or data technology expertise.
Evangelize the importance of AI, generative AI, AI platform and create vision and roadmap.
Requirements :
THIS POSITION WILL BE WORKING DIRECTLY AT THE MOUNTAINVIEW SITE DAILY
PhD in Computer Science , Math, Statistics or related field
Hands on experience in R&D with proven credential in patents and publications - 5 year
Strong familiarity with end to end data services / domains and technologies.
Data Ingest (ETL, ELT, File, Streaming, Queue, etc.)
Data integration (Quality, cleansing, labelling, API, etc)
Data Processing
Data Access
Data Analytics (familiar with different 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 computer
Research experience with data infrastructure, platform development, IoT, e tc - 3 years
Experience with advanced data platform, 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. P ython, SQL / NoSQL, Kafka, Spark, etc). 3 year
Managed research projects, e.g., planning, reporting, and managing time / team / outside collaborators 3 year
Well-developed interpersonal and communication skills, including ability to respond professionally in all types of situation
Added bonus if you have :
PhD in Engineering (e.g. Computer Science, Data Science, Information / Data Management, Math, Statistics, Information Theory, etc) or related fieldsharing
Corporate lab setting with a proven track record of cross functional collaboration and achievements experience
Key components of IoT, edge, distributed cloud architecture with emphasis on connected systems 3 years
Experience of proof-of-concept (PoC) prototyping for connected cars and IoT systems - 3 years
Experienced with prototyping and cloud bulk data ingestion techniques (e.g. AWS, Spark, Kaftka)- 2 years
Programming experience with Python, Rust and embedded systems (e.g. NVIDIA Jetson, Arduino, etc) - 2 years
Working experience and knowledge of connect car architecture and vehicle compute requirements - 2 years
Broad knowledge of Computer Systems, Software engineering and Embedded Systems
Experience working and communicating in multicultural and multinational companies - 2 years
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