Information Technology
Full-Time
VAYUZ Technologies
Overview
Role Expectations
- 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 :
- 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.
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