About
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-
Languages
- English
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