- Define and drive the technical strategy for embedding AI into industrial automation products, with a focus on scalability, quality, and industry compliance.

- Lead the development of a collaborative, high-performing engineering team, mentoring junior engineers, automation experts, and researchers.

- Establish and oversee processes and standards for agile and DevOps practices, ensuring project alignment with strategic goals.

- Collaborate with stakeholders to align project goals, define priorities, and manage timelines, while driving innovative, research-based solutions.

- Act as a key decision-maker on technical issues, architecture, and system design, ensuring long-term maintainability and scalability of solutions.

- Ensure adherence to industry standards, certifications, and compliance, and advocate for industry best practices within the team.

- Stay updated on software engineering trends and AI applications in embedded systems, incorporating the latest advancements into the teams strategic planning.

Qualifications :

- Bachelors or Masters degree in Computer Science, Engineering, or related field.

- Extensive experience in software engineering, with a proven track record of leading technical teams, ideally in manufacturing or embedded systems.

- Strong expertise in Python and C++/Rust, Gitlab toolchains, and system architecture for embedded applications.

- Experience in DevOps, CI/CD, and agile methodologies, with an emphasis on setting and maintaining high standards across a team.

- Exceptional communication and collaboration skills in English.

- Willingness to travel as needed.

- Background in driving team culture, agile project management, and experience embedding AI in industrial products.

- Familiarity with sociocratic or consent-based management practices.

- Knowledge in embedded programming is an advantage.