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

Company Description

The Bosch group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people's lives and to work towards a more sustainable future.

Bosch Service Solutions in Lisbon develops and offers Customer Experience, Mobility, and Monitoring solutions for its clients, and plays a prominent role in providing Engineering and Software Development services in the technology market. Every day, our teams find fast, efficient, and innovative solutions for thousands of people.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

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.

Qualifications

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.