Senior Software Engineer – Power State Management & Performance (Infotainment)

Confirmed live in the last 24 hours

Lucid Motors

Toulouse, 31

On-site

Posted March 25, 2026

Job Description

Leading the future in luxury electric and mobility

At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.

We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.

Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

We are seeking a Senior Software Engineer with deep expertise in Power State Management and system performance optimization for our infotainment ECU. You will play a critical role in designing and implementing robust solutions that ensure system stability, responsiveness, and optimal energy consumption.

Key Responsibilities

Design and implement power state management mechanisms (sleep, wake-up, fast transitions) for infotainment systems.
Optimize system performance on QNX and Android Automotive platforms.
Collaborate with middleware, hardware, and QA teams to ensure feature consistency and reliability.
Analyze and resolve issues related to energy consumption and boot times.
Define and monitor performance KPIs.

Required Qualifications

Technical Skills:

Strong proficiency in C/C++ and experience with QNX and Android Automotive.
In-depth knowledge of power management mechanisms and multicore architectures.
Hands-on experience with profiling, CPU/GPU optimization, and memory management.