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Software Engineer

Negotiable Salary

Maneva

Toronto, ON, Canada

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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.  Requirements Role & Responsibilities On-Premise Infrastructure Architecture: Design and implement robust software infrastructure for deploying vision-based AI applications directly on manufacturing floor devices and edge computing platforms. Production Software Development: Build and maintain production-grade software applications on Linux-based edge devices, including AI inference pipelines, image processing workflows, and system monitoring solutions. Reliable Operations Management: Implement comprehensive monitoring, logging, alerting, and error recovery systems to ensure high availability and reliability of deployed AI systems in industrial manufacturing environments. Vision System Integration: Develop software interfaces for AI vision systems addressing manufacturing quality control, productivity optimization, safety monitoring, and equipment uptime challenges. Data Platform Development: Contribute to building AI-powered platforms that provide data analysis for connected facility operations, including data collection, processing, and analytics pipelines. IoT & Fleet Management: Build and support device management systems for on-premise AI deployments, including remote monitoring, configuration management, and fleet-wide software orchestration across manufacturing sites. OTA Deployment Systems: Design and implement over-the-air software update mechanisms for distributed on-premise devices, ensuring safe and reliable remote updates with minimal production disruption. Industrial Integration: Collaborate with hardware teams to integrate AI applications with PLCs, existing industrial automation infrastructure, and manufacturing execution systems. Performance Optimization: Profile and optimize software performance for resource-constrained edge environments and real-time processing requirements in manufacturing settings. Must-Have Strong proficiency in Python for production software development and system architecture Proven experience architecting and building successful infrastructure solutions that ensure uptime and reliability of real-time on-premise applications 3–5 years of experience in building production-grade software systems, preferably for industrial or manufacturing environments Cloud computing experience with major platforms (AWS, Azure, GCP) for hybrid edge-cloud deployments and infrastructure management Hands-on experience with Linux systems, command line operations, and system administration for edge computing platforms Experience with containerization technologies (Docker) and deployment of applications in production environments Understanding of computer vision workflows and AI inference pipelines for manufacturing applications Knowledge of application reliability principles: monitoring, alerting, graceful degradation, error recovery, and system health management Understanding of manufacturing environments and challenges related to quality control, productivity, safety, and equipment uptime Strong debugging and problem-solving skills in production environments with minimal downtime tolerance Strongly Preferred Full-stack web development experience with TypeScript and React for building operator interfaces and dashboards Experience with IoT protocols and device management for industrial environments (MQTT, HTTP/REST APIs, industrial networking) Experience with over-the-air (OTA) software deployment and update mechanisms for on-premise industrial devices Experience with NVIDIA Jetson or similar edge computing platforms for AI deployment in manufacturing Knowledge of industrial automation protocols (Modbus, Ethernet/IP, OPC-UA) and PLC integration Nice To Have Experience with time-series databases and analytics platforms for manufacturing data (InfluxDB, Grafana, Prometheus) Background in computer vision libraries (OpenCV) and machine learning frameworks (TensorFlow, PyTorch) deployment Familiarity with manufacturing execution systems (MES) and quality management systems Experience with device management platforms for industrial IoT deployments Understanding of cybersecurity best practices for on-premise industrial systems Knowledge of data pipeline architectures for connected facility analytics Experience in food & beverage, CPG, automotive, or packaging manufacturing environments Preferred Candidate Profile On-Premise Deployment Experience: Candidates who have deployed and maintained software systems directly in industrial/manufacturing environments, addressing network constraints, security requirements, and uptime expectations Production Reliability Background: Experience in production systems where downtime has direct business impact (manufacturing, industrial automation, critical infrastructure) Vision/AI Application Deployment: Experience deploying computer vision or AI applications in real-world production environments, with an understanding of model performance, data quality, and system integration challenges Manufacturing Domain Knowledge: Understanding of manufacturing processes, quality control requirements, and operational constraints in production environments Infrastructure Mindset: Candidates who prioritize system architecture, scalability, monitoring, and long-term maintenance—not just feature development Edge Computing Experience: Familiarity with resource-constrained environments, edge device management, and distributed system challenges in industrial settings Benefits Why Join Maneva?  Work with cutting-edge Vision AI & IoT solutions that power autonomous manufacturing, robotics, and industrial automation​.  Opportunity to lead in a fast-growing AI company driving real-world impact in industrial AI adoption​.  Travel opportunities to industrial sites, tech conferences, and research labs.  Collaborate with world-class engineers & AI experts in a dynamic, innovation-driven environment.  Important Notice: Protecting Your Personal Information  We are committed to ensuring the security and privacy of all applicants. Please be aware that our company will never ask for sensitive personal information, via email, phone call or text message. We also do not require payment from applicants for any part of the hiring process.  If you are contacted by someone claiming to represent our company and asking for such information, please do not respond. Instead, report the incident to us immediately at IT-Security@Maneva.ai. 

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Toronto, ON, Canada
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