Principal Vision and AI Engineer (Automotive)

TL;DR

Principal Vision and AI Engineer (Automotive/Embedded): Driving advanced vision pipeline development and AI solutions for automotive and industrial IoT applications with an accent on architecture definition and prototype development on MPU/MCU platforms. Focus on designing AI-based vision solutions from concept to PoC, developing Linux drivers, and optimizing performance metrics.

Location: Onsite in Sophia-Antipolis (Valbonne), France

Company

World leader in secure connectivity solutions serving the automotive, industrial & IoT, mobile, and communications infrastructure markets.

What you will do

• Lead architecture exploration, benchmarking, and technical competitive analysis for vision subsystems.
• Develop and assess AI-based vision solutions from concept to Proof of Concept (PoC).
• Build simulation and prototyping environments, including the design of Linux drivers.
• Define and evaluate performance and quality metrics for vision pipelines.
• Collaborate with hardware, software, and system architecture teams to integrate solutions.
• Provide technical guidance and mentorship within the R&D organization.

Requirements

• Master’s degree in Electronic Engineering or Computer Science.
• 5+ years of experience in vision, embedded systems, or related domains.
• Strong expertise in C/C++, Python, and Bash.
• Solid background in image signal processing and deep learning frameworks for vision applications.
• Hands-on experience with GStreamer, OpenCV, PCL, and Linux kernel development.
• Fluency in English is required.

Nice to have

• Experience with SystemC, Verilog, or FPGA-based platforms (e.g., Zynq, Versal).
• Knowledge of sensor fusion, multi-sensor systems, or Radar technologies.
• DSP programming and optimization skills.

Culture & Benefits

• Comprehensive online and offline learning opportunities for professional growth.
• Inclusive work environment with a strong commitment to diversity, equality, and non-discrimination.
• Company-wide focus on sustainability and measurable environmental progress.
• Opportunity to work with cutting-edge MPU/MCU platforms in a world-leading semiconductor firm.