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Location
In office (Munich)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026.

Overview
Company
Impact
Profile match
Inspired by the human brain, Autobrains' technologies are closer to how human driving works. Making roads a safer place for everyone.

Description

At Autobrains, we are building next-generation Level 4 autonomous driving vehicles. As a Senior Software Engineer, you will design, develop, and integrate core infrastructure components that power our perception and planning pipelines. Your work will ensure seamless collaboration between hardware, algorithms, and platform modules - delivering production-grade software that runs in real autonomous vehicles.

Responsibilities

  • Design and develop infrastructure components to be used across multiple application groups.
  • Develop and maintain production-grade code for deployment on real vehicles.
  • Profile, debug, and optimize platform infrastructure modules for performance and reliability.
  • Integrate software components with hardware and other software modules to ensure seamless system operation.
  • Work closely with cross-functional teams (hardware, algorithms, and verification) to ensure system-level functionality.
  • Create and maintain clear technical documentation, including design specifications and system integration details.
  • Support thorough testing and validation in collaboration with verification engineers.

Requirements

  • B.Sc or M.Sc in Computer Science, Electrical Engineering, or a related field.
  • 5+ years of hands-on experience in SW development for real-time, high-performance systems.
  • Strong expertise in Python/C++ development.
  • Hands-on experience with ROS/ROS 2.
  • Deep understanding of memory management, concurrency, synchronization, and low-level performance optimization.
  • Strong problem-solving and debugging skills at the system level.
  • Prior experience in system-level development at companies like NVIDIA, Intel, Qualcomm, Broadcom, Marvell, etc. - strong advantage.
  • Background in AI model deployment on edge platforms (TensorRT, ONNX runtime) - advantage.
  • Experience with camera/LiDAR/IMU integration and synchronization - advantage.
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