Principal Engineer/Researcher – Data and AI Platform Solutions (Data Focus) PhD Degree
Researcher for conducting research in AI and/or data platforms & related software and systems for next-gen mobility services.
- 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) 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.
- 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 to compare performance, costs and other criteria.
- Obtain patents and publish research in prestigious journals and conferences
Requirements:
THIS POSITION WILL BE WORKING DIRECTLY AT THE MOUNTAINVIEW SITE DAILY
- PhD in Computer Science, Data Science, Information/Data Management, Math, Statistics, Information Theory, etc.)
- 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
- 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, Kafka)- 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
- 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. Python, SQL/NoSQL, Kafka, Spark, etc.). – 3 year
