Lead Embedded Software Engineer

About the role

As a Lead Embedded Software Engineer you will architect, implement, and maintain end‑to‑end solutions for an integrated platform. You will guide a multidisciplinary team of embedded engineers, balancing hands‑on development (about 80%) with leadership duties such as mentoring, roadmap planning, and R&D coordination.

Key responsibilities

• Define and evolve software architecture across on‑board middleware, AI integration layers, front‑end, back‑end, and cloud services.
• Prioritise features, set milestones and align technical plans with business objectives.
• Write technical documentation: product requirements, solution architecture, design reviews.
• Develop core modules in C/C++, Python and C# for high‑performance, reliable backend services.
• Design interfaces between AI/ML models and application infrastructure (APIs, messaging, data pipelines).
• Create SDK/API for third‑party integration.
• Implement and maintain I2C, SPI, UART bus‑protocol drivers with multi‑bus and redundancy support.
• Establish clear software‑to‑hardware interface contracts.
• Set up DevOps pipelines (CI/CD, automated testing, container orchestration) for cloud and on‑prem environments.
• Promote design patterns, coding standards and conduct architecture reviews.
• Mentor and manage multidisciplinary teams to ensure code quality and iterative delivery.
• Organise sprints, review experiments and integrate research outputs into production code.

Required profile

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Software Engineering or related field.
• 5+ years of embedded software development experience, especially with cross‑platform or portable code.
• Proficiency in C and C++ for embedded contexts and C# or Java for backend services.
• Deep experience with I2C, SPI, UART protocols, including multi‑bus and multi‑device patterns.
• Experience developing for Linux (Yocto, Ubuntu) and RTOS (FreeRTOS, Zephyr, RTEMS).
• Proven track record of managing or mentoring teams in agile environments.
• Strong version‑control expertise (Git, GitFlow) and CI/CD integration.
• Python scripting skills for build and test automation.

Required skills

• C
• C++
• C#
• Java
• Python
• I2C
• SPI
• UART
• Linux (Yocto, Ubuntu)
• FreeRTOS
• Zephyr
• RTEMS
• Git / GitFlow
• CI/CD pipelines
• Docker
• Kubernetes
• AWS
• Azure
• GCP