Embedded Software Developer for the Automation of Mobile Work Machines iv.)

Robert Bosch GmbH
Ulm, Germany
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Part-time / full-time
Working hours
Regular working hours
Languages
English, German
Job source

Tech stack

C++ (Programming Language) CMake Software Quality Communications Protocols Continuous Integration Linux Memory Management Embedded Software Ethernet Python (Programming Language) Machine Learning Sensor Fusion
+4 more
Software Engineering System Programming Multithreading Build Tools

Job description

  • As Embedded Software Developer for the Automation of Mobile Work Machines (f/m/div.) you will play a key role in shaping our Offroad Robotics Controller (OCR) platform by integrating state-of-the-art signal and image processing technologies.
  • You will develop complex, high-quality embedded software in C++ that enables precise sensor-based environmental perception, intelligent data processing, and autonomous decision-making on a Linux/QNX platform.
  • Your focus will be on defining a scalable architecture and optimizing it using machine learning and advanced software engineering practices such as CI/CD.
  • You will design control functions and algorithms for the semi-automatic control of mobile machines, incorporating radar, ultrasound, and camera systems.
  • In addition, you will derive technical requirements, support series production throughout the V-model, and ensure code quality in an agile environment.
  • In your role, you will strategically contribute your technical expertise to the team, thereby ensuring the long-term performance and competitiveness of our semi-automated machines.

Requirements

  • Education: university degree in economics, business administration or a comparable qualification
  • Personality and Working Pratice: ability to work independently and goal-oriented; analytical and structured approach to work; strong teamwork and communication skills
  • Experience and Knowledge: solid programming skills in C++ and Python; CMake for build systems; proficiency with Linux/QNX systems; low-level programming (memory management, multithreading); knowledge of common communication protocols (Ethernet, CAN) ; sensor processing (radar, ultrasound, video) and sensor fusion; machine learning (especially edge AI and deployment on embedded hardware)
  • Languages: very good German and English

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