Lead impactful software projects blending machine learning and hardware integration. Shape technical direction and mentor high-performing teams. Drive innovation in scalable systems for industrial operations.
Head Of Software
in Information Technology PermanentJob Detail
Job Description
Overview
- Lead the development of innovative software systems integrating machine learning and hardware for industrial operations.
- Set technical direction, mentor teams, and ensure execution excellence in software development projects.
- Architect scalable, real-time operational systems impacting factory throughput and production efficiency.
- Drive innovation in vision systems and sensing capabilities to enhance industrial processes.
- Collaborate on infrastructure development supporting distributed, automated production cells.
- Champion the use of large-scale compute resources for optimization and intelligence problems.
- Deliver critical features across the stack, from backend systems to user-facing applications.
- Ensure software integration with industrial equipment, including saws and material handling systems.
Key Responsibilities & Duties
- Own and drive delivery of critical software features across the full stack.
- Lead development and improvement of machine learning models for industrial applications.
- Oversee integration of software with industrial equipment and systems.
- Architect scalable systems for real-time scheduling and operations.
- Guide infrastructure development for distributed production cells.
- Utilize large-scale compute resources for solving complex optimization problems.
- Contribute hands-on to key initiatives while setting technical vision.
- Promote innovation and continuous improvement in software development practices.
Job Requirements
- Bachelor of Science (BS) in a relevant field is required.
- Minimum of 7 years of experience, with 10 years preferred in software engineering leadership.
- Proficiency in programming languages such as Python and TypeScript.
- Experience applying machine learning to real-world industrial problems.
- Strong technical fluency across databases, APIs, frontend systems, and cloud infrastructure.
- Effective use of modern AI-assisted development tools and workflows.
- High initiative and ability to operate independently while collaborating effectively.
- Commitment to continuous improvement and customer-focused solutions.
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