Technical Lead Embedded- IoT System & AI Systems

Role Overview: You will be responsible for leading cross-functional engineering efforts in the design, development, and integration of AI-powered solutions across embedded hardware, edge/server devices, system software, and infrastructure components. Your role will involve hardware-software co-design, system architecture, and execution leadership to ensure the delivery of scalable, high-performance, and secure computer vision, artificial intelligence, and robotics products. Key Responsibilities: - Lead end-to-end system design covering embedded hardware, edge/server platforms, and AI model integration. - Define scalable and secure architectural frameworks for hardware-software interoperability, real-time processing, and data flow. - Architect and develop embedded hardware systems (MCUs, SoCs, AI accelerators) for edge and server products. - Coordinate with ML engineers to deploy and optimize CV models on heterogeneous hardware (GPU, IPU, NPU, SOCs, etc.). - Oversee development of core applications, services, middleware, and utilities on both embedded and server systems. - Recommend compute, storage, and networking infrastructure for on-prem, hybrid, or cloud deployments based on application demands. - Lead and mentor a team of embedded engineers, application developers, and integration specialists. - Communicate and negotiate on technology and development aspects with stakeholders to ensure aligned development and integration. Qualification Required: - Bachelors or Masters degree in Electronics, Electrical, Computer Engineering, or related field. - 5+ years of product development experience, preferably with embedded systems design and systems programming with at least 3 years in a technical leadership role. - Strong expertise in embedded systems, circuit design, board bring-up, and firmware development. - Proficient in Python, C/C++, and system-level programming with real-time constraints. - Hands-on experience with edge AI deployment frameworks, embedded Linux, and driver development. - Familiarity with infrastructure components such as Docker, Kubernetes, and CI/CD tools. Additional Details: The company prefers candidates with experience working on mission-critical or real-time AI/CV products (e.g., surveillance, robotics, smart infrastructure) and those with exposure to regulatory or compliance-heavy product domains. Strong documentation, communication, and team coordination skills are also valued. (Note: The work location for this position is in person),