Principal Researcher
4 weeks ago
We are seeking a highly motivated and experienced Principal Researcher to join our team at Toyota's Information Technology Lab. The successful candidate will be responsible for conducting research in AI modeling optimization and 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 models or optimization to reduce costs and speed up performance. The researcher will participate in R&D activities to build and advance AI and data infrastructure.
The ideal candidate will have a PhD in Computer Science, Math, Statistics, or a related field, with hands-on experience in R&D, AI, and data infrastructure. Strong familiarity with end-to-end data services and technologies is essential. Experience with AI infrastructure optimization, proof-of-concept prototyping, and cloud bulk data ingestion techniques is also desirable.
The researcher will work closely with university researchers on emergent AI technologies and algorithms, and will be responsible for defining research goals and tasks for AI and/or data technology. The successful candidate will also lead discussions on multiple products/applications using emerging data and AI technologies, and will develop innovative ideas and solutions for AI domains that deliver better performance, scalability, and cost reduction.
The researcher will also be responsible for conducting proof-of-concept and benchmarks AI models to compare performance, costs, and other criteria, and will establish research collaborations with leading experts in universities and industry consortiums. Mentoring and training junior researchers in group/department-wide technology transfer, patent generation, and publication research in prestigious journals and conferences are also key responsibilities.
The ideal candidate will have excellent communication and interpersonal skills, with the ability to respond professionally in all types of situations. Experience working and communicating in multicultural and multinational companies is also desirable.
Requirements:
- PhD in Computer Science, Math, Statistics, or a related field
- Hands-on experience in R&D, AI, and data infrastructure
- Strong familiarity with end-to-end data services and technologies
- Experience with AI infrastructure optimization, proof-of-concept prototyping, and cloud bulk data ingestion techniques
- Excellent communication and interpersonal skills
- Experience working and communicating in multicultural and multinational companies
Preferred Qualifications:
- 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
- Experience of proof-of-concept (PoC) prototyping for connected cars and IoT systems
- Experienced with prototyping and cloud bulk data ingestion techniques (e.g. AWS, Spark, Kafka)
- Programming experience with Python, Rust, and embedded systems (e.g. NVIDIA Jetson, Arduino)
- Working experience and knowledge of connected car architecture and vehicle compute requirements
- Broad knowledge of Computer Systems, Software engineering, and Embedded Systems
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