Job
Description
Brief Description The Technical Lead – AI, Embedded & Edge Systems is 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. The role bridges hardware-software co-design, system architecture, and execution leadership, ensuring delivery of scalable, high-performance, and secure computer vision and artificial intelligence and robotics products. 1.2. Key Responsibilities1. Technical Architecture & Design 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. 2. Embedded Systems & Hardware Solutioning Architect and develop embedded hardware systems (MCUs, SoCs, AI accelerators) for edge and server products. Supervise schematic reviews, PCB design validation, and bring-up of edge devices aligned with AI/CV use cases. 3. AI & Computer Vision Integration Coordinate with ML engineers to deploy and optimize CV models on heterogeneous hardware (GPU, IPU, NPU, SOCs etc.). Support model quantization, inference optimization, and real-time processing strategies on edge platforms. 4. Edge and Server Application Development Oversee development of core applications, services, middleware, and utilities on both embedded and server systems. Ensure fault-tolerant, modular, and interoperable implementations across deployment environments. 5. Infrastructure Recommendation & Integration Recommend compute, storage, and networking infrastructure for on-prem, hybrid, or cloud deployments based on application demands. Collaborate with DevOps and infra teams to establish deployment pipelines, configuration profiles, and monitoring strategies. 7. Team Leadership & Mentorship Lead and mentor a team of embedded engineers, application developers, and integration specialists. Conduct technical reviews, guide debugging sessions, and promote engineering best practices. 8. Stakeholder Collaboration Communicate and negotiate on technology and development aspects with product managers, architects, QA, and the peers in other organizations to ensure aligned development and seamless integration. Translate business requirements and user stories into actionable technical work plans. Preferred Skills Bachelor’s or Master’s 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 (Docker, Kubernetes, CI/CD tools) Preferred Attributes Experience working on mission-critical or real-time AI/CV products (e.g., surveillance, robotics, smart infrastructure). Ability to navigate between low-level hardware issues and high-level application architecture. Strong documentation, communication, and team coordination skills. Exposure to regulatory or compliance-heavy product domains is an advantage. Job Types: Full-time, Permanent Schedule: Fixed shift Monday to Friday Education: Bachelor's (Preferred) Experience: total work: 5 years (Preferred) C++: 5 years (Preferred) Work Location: In person Expected Start Date: 25/07/2025
