Senior Embedded AI Engineer/Architect for Vehicle Platforms

vor 4 Wochen

Munich, Bayern, Deutschland NIO Vollzeit

About NIO

NIO Inc. is a pioneering manufacturer of premium smart electric vehicles in China. Founded in 2014, NIO designs, develops, and sells premium smart electric vehicles, driving innovations in next-generation technologies, including autonomous driving, digital technologies, electric powertrains, and batteries.

As a leader in the industry, NIO is committed to a more environmentally friendly future, where improved smart electric car technologies and a better car ownership experience will drive increased appreciation and adoption of smart electric cars, leading to a more sustainable future for the planet.

Job Summary

We are seeking a highly skilled Senior Embedded AI Engineer/Architect for Vehicle Platforms to join our team in Munich. The successful candidate will be responsible for championing the identification and creation of Embedded-AI use-cases, working with domain experts to distill use-cases and express them in data/modules/processes of vehicle platform (hardware and software).

Key Responsibilities

  • Lead Embedded AI use-case design, architecture, deployment, and validation by bringing deep knowledge of embedded SoC/accelerators and corresponding toolchains.
  • Drive productization of Embedded AI use-cases.
  • Enhance vehicle systems engineering by automating processes related to Embedded AI.
  • Leverage research and engineering expertise in Europe for advanced study of embedded software systems.
  • Drive and make professional decisions within the team as well as cross-teams work.
  • Relevant technologies: Embedded SoC, AI model architectures, data acquisition, on-edge data processing, in-cloud data processing, training; Inference on embedded devices, model optimization for embedded devices.

Requirements

  • Master's Degree in Electrical Engineering, Computer Science, or relevant engineering field required.
  • Deep knowledge of statistics, data analysis, Embedded AI hardware and frameworks, data preparation/processing.
  • Knowledge of CPU/SoC architectures with ML/AI accelerators, performance, and optimization criteria.
  • Strong knowledge of C/C++ language, Python/scripting, and toolchains (e.g., pyTorch, TFlow, Keras, TinyML).
  • Hands-on experience with AI use-case development and deploying in cloud, consumer, or embedded domains.
  • Strong systems thinker with deep understanding of real-time systems, automotive systems, and connection with top research groups on AI topics is a plus.
  • Ability to think from a top-down design perspective to drive the overall architecture and use AI to bridge different domains.
  • Open-mindedness, creative thinking, willingness to take calculated risks, and make informed decisions, strong communication skills.

What We Offer

This is an opportunity to join a movement to change the mobility experience for everyone. If you find this exciting, come join us.

To apply for this role, please send your CV in English.

We look forward to hearing from you.

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