Engineering Leader

Join a mission-driven team transforming public safety through real-time video analytics and automated enforcement. This role is at the forefront of moving AI capabilities from the cloud to intelligent edge devices - where speed and accuracy are critical.

The client is seeking an Engineering Leader to lead the development of next-generation Edge AI platforms, embedded firmware, and custom hardware systems. This leadership role will oversee the full technology stack - from low-level embedded software to AI acceleration hardware - to enable fast, reliable, and safety-critical decision-making in real-world environments.

This is more than a technical role - its about building high-performing teams, shaping the future of intelligent edge systems, and delivering real-world impact.

Key Responsibilities :

• Team Leadership : Build and lead a multidisciplinary engineering team across embedded software, edge AI, and hardware.
• Technology Roadmap : Define and drive the vision and roadmap for embedded computing and edge AI hardware platforms.
• Architecture & Design : Make high-level architectural decisions for firmware, embedded AI pipelines, and purpose-built hardware, with a focus on performance and power efficiency.
• Edge AI Deployment : Enable cloud-trained AI models to operate efficiently on edge devices with limited resources.
• Hardware & Firmware Development : Manage integration across SDKs, HALs, and toolchains for AI chips like NVIDIA Jetson, Intel Movidius, Hailo, and ARM NPUs.
• Performance & Reliability : Deliver robust, fault-tolerant systems that meet real-time constraints, especially in mobile / vehicle-mounted applications.
• Cross-Functional Collaboration : Work closely with AI / ML teams, product management, and executive leadership to align engineering efforts with business goals.
• Culture Building : Foster a culture of innovation, technical excellence, and accountability within the embedded and edge computing teams.

Preferred Qualifications :

Why Join ?

(ref : hirist.tech)