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Principal Engineer/Researcher

2 months ago

Mountain View, California, United States Computech Corporation Full time
About the Role

We are seeking a highly motivated and experienced Principal Engineer/Researcher to join our team at Computech Corporation. As a key member of our Infrastructure and Data Platform Department, you will play a crucial role in developing next-generation AI and data platforms capable of handling millions of vehicles and providing Mobility as a Service (MaaS).

Key Responsibilities
  • Research and Development
    • Define research goals and tasks for AI and/or data technology.
    • Work with university researchers on emerging 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.
  • Data Capabilities Development
    • Innovate and develop new data capabilities.
    • Generate patents and publications.
  • Leadership and Collaboration
    • Lead discussions of multiple products/applications using emerging data and AI technologies.
    • Establish research collaborations with leading experts in universities and industry consortiums.
    • Mentoring and training junior researchers in group/department-wide.
  • Technology Transfer and Evangelism
    • 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.
Requirements
  • PhD in Computer Science, Math, Statistics, or related field.
  • 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.
  • Data Ingest (ETL, ELT, File, Streaming, Queue, etc.).
  • Data integration (Quality, cleansing, labeling, 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 computing.
  • 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 years.
  • Managed research projects, e.g., planning, reporting, and managing time / team / outside collaborators – 3 years.
  • Well-developed interpersonal and communication skills, including ability to respond professionally in all types of situations.
Preferred Qualifications
  • PhD in Engineering (e.g. Computer Science, Data Science, Information/Data Management, Math, Statistics, Information Theory, etc) or 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 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 connected 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.