Engineering Manager – Embedded Systems & Vision in Central Region

About the role
We are seeking an Engineering Manager – Embedded Systems & Computer Vision to lead a high‑impact team within the technology sector in the Central Region. The role focuses on designing and delivering high‑performance embedded platforms that integrate AI and computer vision capabilities. As a leader, you will guide engineers to solve complex technical challenges while advancing real‑time operating systems, sensor fusion, and edge computing solutions.

Key responsibilities

• Lead cross‑functional teams to develop embedded hardware and firmware for AI‑driven computer vision applications.
• Architect system designs that leverage deep learning inference and FPGA acceleration for real‑time performance.
• Define technical roadmaps, set quality standards, and ensure delivery of scalable, reliable solutions.
• Collaborate with product managers and stakeholders to translate vision requirements into executable engineering plans.
• Mentor engineers, conduct code reviews, and foster a culture of continuous improvement and innovation.

Qualifications and requirements

• Proven experience managing engineering teams focused on embedded systems and computer vision.
• Strong background in real‑time operating systems, sensor integration, and edge computing architectures.
• Demonstrated ability to solve complex technical problems and deliver high‑performance solutions.
• Excellent communication and leadership skills to align multidisciplinary teams.

Benefits

• Opportunity to work on cutting‑edge AI and computer vision projects.
• Competitive compensation package aligned with industry standards.
• Access to advanced development tools and platforms for rapid prototyping.

Tips for success in this role

• Stay current with emerging AI, computer vision, and embedded hardware trends to drive innovation.
• Prioritize clear documentation and robust testing to ensure system reliability at the edge.
• Foster strong collaboration between hardware, firmware, and algorithm teams to accelerate delivery.