Head Of Software

Overview

• Lead the software department of a dynamic technology company, driving innovation and excellence in industrial software solutions.
• Architect and implement scalable systems integrating machine learning and real-time operations for industrial applications.
• Mentor and guide multidisciplinary teams to achieve technical milestones and deliver impactful software solutions.
• Collaborate with stakeholders to align software development with business goals and operational efficiency.
• Drive innovation in vision systems and sensing technologies to enhance industrial processes.
• Ensure seamless integration of software with industrial equipment and automated production systems.
• Champion the adoption of cutting-edge technologies and methodologies to maintain industry leadership.
• Foster a culture of continuous improvement and technical excellence within the software team.

Key Responsibilities & Duties

• Lead the design and development of innovative software systems for industrial operations.
• Oversee the integration of machine learning models into operational workflows and equipment.
• Architect scalable, real-time systems for production scheduling and efficiency optimization.
• Collaborate with cross-functional teams to ensure alignment of software solutions with business objectives.
• Guide the development of infrastructure supporting distributed, automated production environments.
• Promote the use of advanced computational resources for solving complex industrial challenges.
• Contribute to hands-on development while setting strategic technical direction.
• Encourage innovation and adoption of best practices in software engineering.

Job Requirements

• Bachelor of Science (BS) in Computer Science, Engineering, or related field.
• Minimum of 7 years of software engineering leadership experience; 10 years preferred.
• Proficiency in programming languages such as Python and TypeScript.
• Experience with machine learning applications in industrial settings.
• Strong knowledge of databases, APIs, frontend systems, and cloud infrastructure.
• Familiarity with AI-assisted development tools and workflows.
• Proven ability to lead teams and deliver complex software projects on time.
• Commitment to fostering innovation and driving continuous improvement.