Embedded AI Software Engineer (C++) - Automotive Perception

Boschgroup

Braga

Híbrido

EUR 55 000 - 90 000

Tempo integral

Há 4 dias

Torna-te num dos primeiros candidatos

Recebe mais respostas dos empregadores

Envia um currículo específico para a oferta em poucos minutos.

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.