Software Engineer - Montreal

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 insight ...

Job description

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.

What You'll Do

As a Software Engineer at Maneva, you will focus on building, deploying, and supporting AI software systems that power customer-facing deployments. You'll work closely with Deployment Engineers, Systems Design, ML, and Infrastructure teams to ensure Maneva's software runs reliably in real-world industrial environments.

This role is highly practical and execution-oriented. You will develop and maintain deployment-ready software stacks, implement custom modules or services required for specific customer applications, and ensure systems meet performance, reliability, and operational requirements across edge and cloud environments.

Requirements

Key Responsibilities

• Support software deployment for customer projects, across edge and cloud environments
• Build and maintain custom software modules, services, and integrations required for specific customer applications
• Develop and operate backend services and infrastructure supporting real-time vision and AI systems
• Optimize software performance for real-time inference, low latency, and resource-constrained environments
• Support deployment pipelines, configuration management, and versioned releases
• Collaborate with Deployment Engineers to debug and resolve issues in live production environments
• Implement monitoring, logging, and observability to ensure system reliability and uptime
• Contribute to CI/CD pipelines, testing, and deployment automation
• Document software configurations, deployment processes, and customer-specific customizations
• Support and extend user-facing interfaces that interact with deployed AI applications, including dashboards, controls, and operational tooling
• Collaborate with backend, deployment, and ML teams to integrate frontend applications with edge and cloud services
• Support edge device fleet operations, including activity tracking, health monitoring, and deployment status visibility across customer sites

What We're Looking For

Must-Haves

• Degree in Computer Science, Software Engineering, or equivalent industry experience
• Strong experience supporting production software deployments and feature development
• Experience with cloud and/or edge infrastructure, including Linux-based systems
• Solid backend development skills in Python, C/C++, or equivalent
• Experience with implementing image processing and computer vision applications with tools such as OpenCV
• Familiarity with DevOps practices: CI/CD, containerization, configuration management
• Ability to debug issues across application code, infrastructure, and runtime environments
• Strong collaboration skills with hardware, deployment, and customer-facing teams
• Willingness to travel to customer deployments in Canada and the United States as needed

Nice-to-Haves

• Full-stack or frontend web development experience, particularly with TypeScript and React, to support user interfaces and operational tools for deployed AI applications
• Prior experience working with fault-tolerant edge AI systems in production environments
• Experience with edge fleet management, including device provisioning, lifecycle management, health monitoring, and remote updates
• Familiarity with tracking edge device activities, telemetry, logs, and operational metrics across distributed deployments
• Experience deploying and maintaining software on distributed, intermittently connected, or resource-constrained edge devices
• Experience with real-time systems or low-latency applications
• Expertise in inference optimization (model serving, performance tuning, hardware acceleration)
• Familiarity with Docker, Kubernetes, or lightweight orchestration at the edge
• Exposure to monitoring and observability tools (Prometheus, Grafana, ELK, etc.)
• Experience working in industrial, robotics, or manufacturing environments
• Prior work in startup or fast-paced customer-facing engineering teams

Benefits

Why Join Maneva?

• Build software powered by cutting-edge AI that runs in real factories, not just dashboards
• Own deployment-critical systems with direct customer impact
• Work across edge, cloud, and real-time AI systems
• Collaborate with world-class engineers and AI researchers in a fast-growing startup

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-