System Architect – Agentic AI for Autonomous Driving

Posted Yesterday
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Munich, Bayern, DEU
In-Office
Mid level
Artificial Intelligence • Software
The Role
The role involves defining and building advanced system architecture for autonomous driving using agentic AI and robotics, requiring hands-on expertise.
Summary Generated by Built In
Description

Autonomous driving is entering a new era.

The future will not be built around a single monolithic model. It will be built around intelligent agents that perceive, reason, predict, collaborate, and continuously learn.

At Autobrains, we are looking for a hands-on System Architect to help define and build this next generation of autonomous driving systems.

What we’re looking for:

  • Strong system architecture background
  • Deep understanding of robotics and autonomous systems
  • Experience with ROS/ROS2
  • Experience with NVIDIA platforms (Orin, Thor, CUDA ecosystem)
  • Ability to bridge AI, software, cloud, and vehicle systems
  • Agile mindset and startup mentality
  • Hands-on builder who enjoys turning ideas into working systems

You will work on technologies spanning:

  • Agentic AI
  • Autonomous Driving
  • World Models
  • Multi-Agent Systems
  • AI-Defined Vehicles
  • Real-time AI deployment at scale

If you are excited about building the architecture behind the next generation of intelligent vehicles, I’d love to hear from you!

Skills Required

  • Strong system architecture background
  • Deep understanding of robotics and autonomous systems
  • Experience with ROS/ROS2
  • Experience with NVIDIA platforms (Orin, Thor, CUDA ecosystem)
  • Ability to bridge AI, software, cloud, and vehicle systems
  • Agile mindset and startup mentality
  • Hands-on builder who enjoys turning ideas into working systems
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The Company
HQ: Tel-Aviv
113 Employees
Year Founded: 2019

What We Do

Autobrains is a leading AI mobility company, radically rethinking AI for the safest route from ADAS to full autonomy. Revolutionizing how deep learning is applied, Autobrains’ patented self-learning and signature-based AI is a new approach to perception, closing the technology gaps toward the safest human-driven and autonomous car possible. The product portfolio offers modular, highly efficient entry-level, volume, premium, and luxury software solutions - covering all autonomous driving levels. Strategic investors include BMW i Ventures, VinFast, Continental AG, Knorr-Bremse AG, and others. Learn more here: https://autobrains.ai/.

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