Some Positions of Automotive Software Development base in Germany

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Electric Vehicle Technology: Understanding the fundamental principles of electric vehicle technology, including battery management systems (BMS), electric drivetrains, charging infrastructure, regenerative braking, and thermal management systems.

Embedded Systems Development: Proficiency in developing software for embedded systems, which are prevalent in EVs for controlling various components such as electric motors, power electronics, battery management systems, and vehicle control units.

Battery Management Systems (BMS): Expertise in developing software for BMS, which involves monitoring and managing battery health, state of charge, temperature, and cell balancing to optimize performance, safety, and longevity.

Power Electronics: Familiarity with power electronics and control algorithms used in EVs for converting and managing electrical energy between the battery, motor, and other vehicle systems efficiently.

Automotive Communication Protocols: Knowledge of automotive communication protocols such as CAN (Controller Area Network), LIN (Local Interconnect Network), and Ethernet, which are essential for interconnecting various electronic control units (ECUs) within the vehicle.

Functional Safety: Understanding of functional safety standards such as ISO 26262 and experience in developing software compliant with safety integrity levels (ASIL) to ensure the safe operation of EVs.

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Software Development Languages and Tools: Proficiency in programming languages commonly used in embedded systems development, such as C, C++, and Python. Familiarity with development tools, debuggers, and simulation environments specific to automotive software development.

Real-Time Operating Systems (RTOS): Experience in working with real-time operating systems commonly used in automotive applications to meet stringent timing requirements and ensure deterministic behavior of software components.

Cybersecurity: Awareness of cybersecurity principles and best practices for securing EV software and communication networks against potential cyber threats and vulnerabilities.

Testing and Validation: Skills in software testing, validation, and verification techniques specific to automotive software, including unit testing, integration testing, model-in-the-loop (MIL) testing, and hardware-in-the-loop (HIL) testing.

ADAS and Autonomous Driving Algorithms: Understanding of algorithms and software architectures used in ADAS and autonomous driving systems, including perception (object detection, recognition, and tracking), sensor fusion, decision-making, path planning, and control algorithms.