Software Engineer – Embedded AI (C++) (f/m/div.)
Work Mode
Hybrid
Fields of work
Engineering
Join as
Professional
Contract Type
Unlimited
Working time
Full-time
Compensation
According to agreement
Your tasks
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.
Your profile 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.
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.
