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Location
Hybrid (Braga, Portugal)
Employment
Full-Time

First seen by Alion on Sep 24, 2026.

Overview
Company
Impact
Profile match
Headquartered in Lisbon, Bosch Portugal operates as the national subsidiary of the global engineering and technology leader Robert Bosch GmbH. The company maintains major industrial, development, and shared service hubs across Portugal - notably in Braga, Aveiro, Ovar, and Lisbon - specializing in automotive multimedia electronics, connected mobility, HVAC heat pump and thermal technologies, building security systems, and digital business services. Through partnerships with Portuguese universities and significant investments in advanced manufacturing and software engineering, it serves as a critical R&D and export powerhouse supporting the Bosch Group's international supply chain.

Sobre a vaga

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.

O que vais fazer

  • 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

O que é pedido

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

Valorizado

  • 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

O que é oferecido

  • 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
  • Supported employee car park on site, free bicycle parking in the courtyard, secure bicycle parking space for rent, e-bike charging stations
  • Company bike leasing, choice between a free ticket for core zone, a subsidized Klimaticket, or an employee parking space
  • Flexitime and modern working time models ranging from part-time to job sharing, home office and incorporated window days off
  • Company doctor on site
  • Free vaccinations, attractive health insurance, psychosocial and therapeutic counselling, personal health care, workshops and lectures on the subject of health, company pension scheme from the 3rd year at Bosch
  • Subsidised cultural and leisure events
  • Bosch Bus to direct connection Porto <> Bosch Braga
  • Healthy and tasty meals at subsidised prices in our company restaurant and cafeteria, free coffee in our coffee kitchens

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.

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