Engineer Offres d'emploi - Angus, ON

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

Why Join Us?

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