PhD DEGREE IS REQUIRED - pls do not apply if only MS degree
RESEARCH & PUBLICATION EXPERIENCE IS REQUIRED
Principal Engineer/Researcher – DATA & AI INFRASTRUCTURE PLATFORM- PhD Degree
- Researcher for conducting research in AI and/or data platforms & related software and systems for next-gen mobility services.
- Participate in the R&D activities to build and advance AI and data infrastructure.
What you’ll be doing
- 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.
- 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 to compare performance, costs and other criteria.
- Obtain patents and publish research in prestigious journals and conferences
Requirements:
What you bring
- 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
- 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
