Software Engineer - Embedded AI (C++) (f/m/div.)

Boschgroup; Braga; Híbrido; EUR 55 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work system

Health insurance

Canteen

Training opportunities

Career progression

Resumo da oferta

Bosch is shaping the future of mobility by developing intelligent automotive systems powered by AI. Join our engineering team to contribute to Occupant Monitoring Systems and other AI-driven automotive solutions, working at the intersection of Embedded Software and Machine Learning.

You will translate AI models into production-ready embedded software, optimize performance on SoCs, collaborate with AI/ML engineers, and help deliver reliable perception technologies for vehicles worldwide.

Qualificações

• Experience developing software in modern C++ 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.

Responsabilidades

• 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.

Conhecimentos

Modern C++

Embedded systems

Memory optimization

Multithreading

AI/ML integration

CI/CD

English communication

Formação académica

Degree in Computer Engineering / Electrical Engineering / Software Engineering

Ferramentas

TensorFlow

TensorRT

PyTorch

Descrição da oferta de emprego

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.

Work #LikeABosch means:

• 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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