Automotive Principal Engineer and Researcher

2 days ago


Mountain View CA United States ZipRecruiter Full time

Principal Engineer/Researcher – AI Platform Solutions
Location : Mountain View, CA 94043
Pay Rate: Open
Additional Benefits : Health, Dental, Vision, 401(k), company-paid holidays and more
Type of hire : Contract, long-term with ongoing potential.
Travel: No


Position Summary:
Seeking 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 models or optimizations 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 the next AI and data platform capable of handling millions of vehicles and providing MaaS (Mobility as a Service).


Responsibilities:

  • 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 products/applications using emerging data and AI technologies.
  • Research and develop new capabilities within AI domains, e.g., Federated Learning, Decentralized and Distributed Algorithms, etc.
  • Develop innovative ideas and solutions for AI domains that deliver better performance and scalability, lower costs and reduce latency, high availability and redundancy, observability and reliability, encryption, security, etc.
  • Conduct PoC and benchmarks of AI models to compare performance, costs, and other criteria.
  • Establish research collaborations with leading experts in universities and industry consortiums.
  • Mentor and train junior researchers in the group/department.
  • Transfer ITL research to advanced development or valuable business contributions to the company.
  • Generate patents and publish research in prestigious journals and conferences.
  • Regularly champion research and present/influence at the VP and GVP level, showcasing AI or data technology expertise.
  • Evangelize the importance of AI, generative AI, and AI platform, creating vision and roadmap.

Qualifications:

  • 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.
  • 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 years.
  • Managed research projects, e.g., planning, reporting, and managing time/team/outside collaborators - 3 years.
  • Well-developed interpersonal and communication skills, including the 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.
  • Experience in a corporate lab setting with a proven track record of cross-functional collaboration and achievements.
  • Key components of IoT, edge, distributed cloud architecture with emphasis on connected systems - 3 years.
  • Experience in proof-of-concept (PoC) prototyping for connected cars and IoT systems - 3 years.
  • Experience 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.
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