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Trois Infotech (P) Ltd
Trois Infotech (P) Ltd

4th Floor, KSUM C DAC Building, Technopark, Trivandrum , 695581

http://www.trois.in

Technical Lead – Embedded- IoT System & AI Systems

Closing Date:24,July 2025
Job Published: 09,June 2025
Contact Email: careers@trois.in

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 Responsibilities

1. 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.