Software Engineer – Embedded Ai (C++) (F/M/Div.)

Job Description

Your contribution to something big:

At Bosch, we are shaping the future of mobility by developing intelligent automotive systems powered by Artificial Intelligence. As part of our engineering team, you will contribute to the development of next-generation Occupant Monitoring Systems and other AI-driven automotive solutions, working at the intersection of Embedded Software and Machine Learning.

You will collaborate with multidisciplinary teams to transform AI models into efficient, reliable, and production-ready embedded software, helping bring innovative perception technologies to vehicles worldwide.

Your responsibilities will include:

- Design, develop, and maintain high-quality C++ software for Occupant Monitoring Systems and other AI-powered automotive applications.

- Develop software components that consume, process, and interpret outputs from Deep Learning and Machine Learning models.

- Collaborate closely with AI/ML engineers to integrate AI models into embedded software solutions.

- Understand and optimize the interaction between hardware, embedded software, AI algorithms, and system architectures.

- Optimize software performance, memory usage, and execution efficiency on embedded automotive platforms (e.g., Texas Instruments, Qualcomm, and similar SoCs).

- Support the deployment, integration, and validation of AI models in embedded environments.

- Develop software following modern software engineering practices, ensuring maintainability, scalability, testability, and high code quality.

- Participate in software architecture discussions, code reviews, debugging, and continuous improvement activities.

- Contribute to innovative AI-enabled perception solutions for next-generation automotive systems.

What distinguishes you:

Education

- Degree in Computer Engineering, Electrical Engineering, Software Engineering, or a related technical field.

Experience / Know-how

Mandatory Skills

- Experience developing software in modern C++, preferably for embedded systems.

- Experience with software optimization, debugging, and performance analysis.

- Strong knowledge of software engineering principles, including SOLID, RAII, design patterns, and Clean Code.

- Good understanding of embedded systems, memory management, multithreading, and performance optimization.

- Experience with API/interface design and modular software architectures.

- Understanding of Deep Learning concepts, including neural networks, inference pipelines, tensors, and feature extraction.

- Familiarity with Deep Learning frameworks such as TensorFlow, TensorRT, PyTorch, or similar.

- Understanding of the machine learning lifecycle, including training, validation, optimization, and deployment.

- Ability to translate AI model behavior into efficient embedded software implementations.

- Knowledge of software quality practices, including unit testing, static analysis, code reviews, and CI/CD.

- Very good written and verbal communication skills in English.

Preferred Skills

- Experience working with AI/ML-based products or applications.

- Experience in automotive software development.

- Experience deploying AI models on embedded platforms such as Qualcomm, Texas Instruments, NVIDIA, or similar.

- Knowledge of Occupant Monitoring Systems, computer vision, sensor fusion, or automotive perception functions.

- Familiarity with automotive development standards and processes, including ASPICE, Functional Safety, and Automotive Cybersecurity.

- Experience profiling and optimizing AI inference performance on resource-constrained embedded devices.

Working Style & Methods

- Team player with a proactive and collaborative mindset.

- Goal-oriented, self-motivated, and passionate about technology.

- Analytical and systematic approach to problem-solving.

- Continuous learning mindset, with an interest in Artificial Intelligence and Embedded Software.

- Comfortable working independently while collaborating effectively with cross-functional international teams.

Additional Information

- Flexible work conditions

- Hybrid work system

- Exchange with colleagues around the world

- Health insurance and medical office on site

- Training opportunities

- Opportunities for career progression and continuous professional development

- Access to great discounts in partnerships and Bosch products

- Sports and health related activities

- Great access to public transports

- Free parking lot

- Canteen

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