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Autobrains Technologies Tech Stack

AI perception and planning stack for autonomous driving across ADAS to Level 5

Software Development Tel-Aviv 51–200 employees Founded 2019 Privately Held

Autobrains builds deep-learning perception and motion-planning software for autonomous vehicles, from driver-assistance systems through full autonomy. The tech stack—PyTorch, TensorRT, ONNX Runtime, CUDA, QNX, AUTOSAR—reflects a mature embedded-AI company shipping to automotive hardware. Active hiring is concentrated in engineering and research (20 of 29 roles), with senior and leadership seniority dominating; the focus on 'GPU inference pipelines for embedded platforms' and 'edge device deployment' signals aggressive optimization of model inference for cost and latency on production vehicles.

Tech Stack 18 technologies

Core StackPython PyTorch C++ Linux Jira ROS ROS 2 TensorRT ONNX Runtime QNX AUTOSAR Git UML SysML CUDA NVIDIA ONNX C

What Autobrains Technologies Is Building

Challenges

  • Making autonomous driving affordable at scale
  • Commercializing next-generation autonomy
  • Scaling autonomous driving for millions of vehicles
  • Ensuring safety and performance across decision pipeline
  • Deep-tech to large-scale market adoption
  • Trust, momentum, category leadership
  • Establishing validation methodologies for fleet feedback
  • Minimizing latency
  • Accelerating outcomes
  • Efficient inference on embedded automotive platforms

Active Projects

  • Planning & control algorithms for l2+ up to eyes-off autonomy
  • Edge device deployment for autonomous driving
  • Motion planning, trajectory optimization, and behavior layers integrated with digital twin and edge-ai stack
  • Validation methodologies, scenario-based testing, and fleet-feedback loops
  • Integration of planning modules with world model and edge-ai stack
  • Multi-party collaborations across automotive and ai ecosystems
  • Align partnerships with roadmap
  • Air2road localization
  • Next generation autonomous driving algorithms
  • Gpu inference pipelines for embedded platforms

Hiring Activity

Accelerating30 roles · 15 in 30d

Department

Engineering
17
Research
3
Sales
2
Executive
1
HR
1
Marketing
1
Ops
1

Seniority

Senior
12
VP
4
Lead
3
Mid
3
Junior
2
Manager
1
Principal
1

Notable leadership hires: Path Planning Team Lead

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About Autobrains Technologies

Autobrains develops modular autonomous-driving software spanning all levels of autonomy, from advanced driver-assistance to full driverless capability. The company sells to automotive OEMs and Tier 1 suppliers; strategic investors include BMW i Ventures, VinFast, Continental AG, and Knorr-Bremse AG. Core product areas cover perception, motion planning, trajectory optimization, and behavioral control, with recent work on fleet-feedback validation loops and integration with digital-twin environments. The organization operates across Israel, Germany, Vietnam, and the United States, with 51–200 employees and active hiring concentrated in engineering and research roles.

HeadquartersTel-Aviv
Company Size51–200 employees
Founded2019
Hiring MarketsIsrael, Germany, Vietnam, United States

Frequently Asked Questions

What tech stack does Autobrains use?

Python, PyTorch, C++, ROS 2, TensorRT, ONNX Runtime, CUDA, NVIDIA, QNX, AUTOSAR, and Linux. The mix reflects deep-learning model development (PyTorch, CUDA) integrated with embedded automotive software standards (AUTOSAR, QNX).

What is Autobrains working on?

Motion planning and control algorithms for ADAS through driverless autonomy, GPU inference optimization for embedded platforms, scenario-based validation and fleet-feedback loops, and integration of planning modules with world models and edge-AI stacks.

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