At Kynze, we are building next-generation technologies that transform how humans and machines perceive and interact with the world. Inspired by advancements in AI-driven vision, computational imaging, and perceptual optimization, we develop products that go beyond traditional boundaries—delivering richer, more natural, and more intelligent digital experiences.

We are a team of creators, engineers, and visionaries who believe that technology should enhance human capability, not replace it. If you’re excited to push the frontier of AI, edge computing, and perception systems, we’d love to have you on the journey.

We are looking for a Software Engineer to shape and drive the technical backbone of our most ambitious initiatives. You’ll be at the helm of designing high-performance systems, mentoring a growing team, and collaborating with product, research, and hardware leaders to make Kynze’s vision real.

• Architect edge-ready platforms: Design and deliver software that runs efficiently on embedded Linux environments and edge devices.
  

• Build cutting-edge systems: Develop robust software pipelines for real-time computer sensor fusion, AI inference, and sensor integration.
  

• Collaborate cross-functionally: Work closely with product and R&D to bridge advanced research with production-ready solutions.
  

• Hands-on innovation: Contribute directly to codebases in areas like GPU acceleration, embedded performance optimization, and distributed edge/cloud systems.
  

• Shape the future: Influence product strategy by staying ahead of emerging trends in AI, edge computing, and visual perception.
  
  
  
  

• 7+ years of software engineering experience, including at least 2 years in a leadership role.
  

• Expertise in C/C++ and Python, with a strong grasp of systems programming, optimization, and debugging.
  

• Proven track record with computer vision / sensor fusion, embedded systems and AI/ML pipelines.
  

• Deep knowledge of embedded Linux, real-time OS, device drivers, and edge deployment architectures.
  

• Strong leadership and communication skills—able to inspire, guide, and grow engineering teams.
  

• Bilingual (French / English)
  

• Experience in sensor fusion, perceptual computing or depth-sensing technologies.
  

• Experience with GPU/accelerator programming (CUDA, OpenCL).
  

• Hands-on with deployment frameworks (TensorRT, ONNX Runtime) for edge inference.
  

• Strong background in signal processing, Radar, and Lidar technologies.
  

• Background in scaling hybrid edge-cloud AI systems.
  

• Publications, patents, or open-source contributions in imaging/ML.
  
  
  
  

• Be part of a mission-driven team shaping the future of human-machine interaction.
  

• Competitive compensation and insurance.
  

• Flexible, collaborative, and creative work culture.
  

• The opportunity to build technology that makes a real-world impact at scale.