Technical Lead- IOT-C++ Developer- AI-2

Job Summary

Job Role : C++ Developer with AI

Experience Level : 5 to 10years

Key Responsibilities

• Lead the design, development, and maintenance of high-performance C++ applications for embedded and Linux-based systems.
• Write clean, efficient, and testable C++ code (C++11/14/17) and demonstrate strong coding capability during technical interviews.
• Develop comprehensive unit tests using GTest and ensure high code quality through tools such as SonarQube.
• Manage and integrate third-party dependencies using Conan, and maintain robust build workflows using CMake.
• Debug complex issues using gdb, Linux system tools, and low-level diagnostics.
• Create and maintain shell scripts for automation, integration, and development workflows.
• Collaborate with cross-functional engineering teams to define architecture and produce clear design documentation using PlantUML.
• Apply containerization best practices (Docker, Podman) for streamlined development, testing, and deployment environments.
• Optimize multithreaded and concurrent applications for reliability, scalability, and real-time performance.
• Produce clear and structured technical documentation, including design details, workflows, and architectural decisions.

Required Skills

• Expert-level proficiency in modern C++ (C++11/14/17) with strong hands-on coding experience.
• Proficiency with GTest, SonarQube, Conan, Shell Scripting, CMake, and gdb.
• Strong understanding of Linux CLI, system programming, and embedded software concepts.
• Working knowledge of containerization using Docker and/or Podman.
• Deep understanding of multithreading, concurrency patterns, and synchronization mechanisms.
• Experience creating and maintaining architecture/design diagrams using PlantUML.
• Good to have: familiarity with MQTT protocols and Cloud technologies.
• Currently working as a Product Owner (PO) in a SAFe environment while maintaining strong hands-on coding expertise.
• Must be willing to write code as part of the interview process.

Preferred Qualifications

• Experience in automotive software development or related safety-critical domains.
• Knowledge of Adaptive AUTOSAR frameworks and tools.
• Exposure to IoT ecosystems, protocols, and cloud connectivity.
• Familiarity with Agile methodologies, SAFe principles, and DevOps practices.
• Strong problem-solving skills, analytical thinking, and excellent communication abilities.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.