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

Bosch Group; Braga; Híbrido; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Canteen

Hybrid work system

Training opportunities

Career progression

Resumo da oferta

Bosch Group in Portugal is seeking a skilled embedded software engineer to design, develop, and optimize C++ solutions for Occupant Monitoring Systems and AI-powered automotive applications.

You will collaborate with AI/ML teams to translate models into production-ready embedded software, ensuring high code quality, maintainability, and performance on leading automotive SoCs, with hybrid work flexibility and opportunities for professional growth.

Qualificações

• Experience with modern C++ in embedded environments.
• Strong knowledge of SOLID, RAII, design patterns, and Clean Code.
• Understanding of memory management, multithreading and performance optimization.
• Experience with unit testing and CI/CD.
• Proficient English communication.

Responsabilidades

• Design, develop, and maintain C++ software for Occupant Monitoring Systems and AI-powered automotive applications.
• Develop software components that consume, process, and interpret outputs from Deep Learning and ML models.
• Collaborate with AI/ML engineers to integrate AI models into embedded software solutions.
• Optimize software performance on embedded automotive platforms and SoCs.
• Support deployment, integration, and validation of AI models in embedded environments.
• Follow modern software engineering practices to ensure maintainability and testability.
• Participate in architecture discussions, code reviews, debugging, and continuous improvement.

Conhecimentos

Modern C++

Embedded systems

Performance optimization

Multithreading

API design

Unit testing

CI/CD

English communication

Debugging

Formação académica

Degree in Computer Engineering, Electrical Engineering or Software Engineering

Ferramentas

TensorFlow

TensorRT

PyTorch

Descrição da oferta de emprego

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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