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Engineer • kingston on
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ManevaON, CA- Temps plein
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About Maneva
Maneva, a startup founded by an ex-Google Deepmind researcher, is an AI service provider revolutionizing manufacturing operations with cutting-edge AI solutions for autonomous factory operation and optimization. Our solution generates AI-powered actions and insights using off-the-shelf hardware or existing vision systems for real-impact manufacturing problems in products and equipment inspection, production efficiency, safety, and more.
We are seeking a Senior Software Lead to drive the development of our embedded software stack, ensuring a robust, high-quality, and scalable foundation for our AI-driven industrial applications. The ideal candidate will bring deep expertise in Python or C , real-time embedded systems, and IoT applications, with a strong commitment to code quality, system reliability, and maintainability .
Requirements
Role & Responsibilities
- Technical Leadership : Own the software architecture, ensuring a rigid, scalable, and maintainable codebase optimized for real-time industrial applications.
- Stack Development : Design and implement embedded systems for AI-powered applications in mobile robots, industrial vision, and autonomous vehicles .
- Code Quality & Performance : Enforce best practices for code health, test coverage, and software reliability , with a focus on real-time processing, safety, and efficiency .
- Integration & Deployment : Lead the integration of sensor-based AI systems, IoT devices, and real-time data processing pipelines into industrial environments.
- Cross-functional Collaboration : Work closely with hardware engineers, AI researchers, and product teams to optimize system performance and deploy AI models on edge devices.
- Automation & DevOps : Develop CI / CD pipelines for embedded software , ensuring seamless testing and deployment across robotic platforms, industrial vision systems, and research labs .
- Scalability & Future-Proofing : Ensure the long-term health of the software stack , implementing architectural best practices to support rapid deployment and AI model updates .
Must-Have :
Nice-to-Have :
Benefits
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