Principal Engineer/Researcher

2 weeks ago

San Francisco, United States Resource Informatics Group Full time
Role- Principal Engineer/Researcher
Location- MOUNTAINVIEW CA

Duration- Long Term

Description:
  • 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.
  • PoC and Benchmarking experience in AI or data infrastructure
  • Strong research interest in AI infrastructure optimization
  • Research experience with AI and infrastructure, platform development, IoT, etc - 3 years
  • Experience with advanced AI modeling, distributed cloud systems & architecture including 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 situations
Added bonus if you have:
  • 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 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 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
  • Toyota experience
Who we're looking for

Toyota's Information Technology Lab is looking for a passionate and highly motivated Principal Engineer/Researcher for conducting research in AI modeling optimization & related software and systems for next-gen mobility services. The primary responsibility of this role is to research new and emerging AI technologies and to develop new AI model or optimization to reduce costs and speed up performance. 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 technologies and algorithms.
  • Research and develop (open source, commercial) AI models where these models can be used widely across multiple business services including battery, supply chain, marketing, mobility, chatgpt for support, etc.
  • Innovate and develop new technologies to optimize AI models to improve AI computing.
  • Lead discussions of multiple number of products/applications using emerging data and AI technologies.
  • Research and develop new capabilities within AI domains, ie. Federated Learning, Decentralized and Distributed Algorithms, etc
  • Develop innovative ideas and solutions for AI 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 AI Models 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
  • Generate patents and publications research in prestigious journals and conferences
  • Regularly champion reseach 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.

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