Role- CW Principal Engineer/Researcher Data and AI Platform Solutions (Data Focus) PhD Degree (99W)
Location- Mountain View, CA
Duration- Long Term
What you bring
- 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 credentials 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, etc - 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. Python, 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
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- Added bonus if you have:
- PhD in Engineering (e.g. Computer Science, Data Science, Information/Data Management, Math, Statistics, Information Theory, etc) or a related field
- 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 injestion 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 connecting 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
- Toyota experience
Who we're looking for
Toyota's Information Technology Lab is looking for a passionate and highly motivated Principal Engineer/Researcher to conduct 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 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 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.
- 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.