Publié il y a 14 mois
Senior Software Engineer
@ hireVouch
Télétravail au Canada
En bref
hireVouch is hiring a Senior Software Engineer to build and run AI vision applications on manufacturing floor devices and edge platforms. The work covers production Python software, reliability, OTA updates, fleet management and PLC integration.
Responsabilités :
- Design on-premise infrastructure for vision-based AI on factory devices
- Build and maintain production software on Linux edge devices
- Implement monitoring, alerting and error recovery for industrial AI systems
- Develop OTA update and fleet management systems for distributed devices
- Integrate AI applications with PLCs and manufacturing execution systems
Résumé des exigences :
- 3 to 5 years building production-grade software, preferably industrial
- Strong Python and Linux system administration
- Cloud experience with AWS, Azure or GCP
- Docker and production container deployment
- Understanding of computer vision and AI inference pipelines
Outils et compétences
Source et dates
Type de source non vérifié · cats
- Date publiée par l’employeur
- 2025-09-25
- Première détection par notre source
- 2026-10-10
- Mise à jour du dossier source
- 2026-11-02
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 3 an(s) et plus |
| Milieu de travail | Bureau, Usine |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
hireVouch
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
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Description complète de l’entreprise
Our Edge Hiring and retaining skilled talent is paramount for your company’s success. Finding the right people – who have the right skills and right personality fit – can be incredibly challenging in today’s job market. Here at hireVouch we can help you acquire the highest calibre candidates through the relationships we have formed over more than a decade. Our approach is an ethical one. Rather than use the often-employed aggressive methods typical of the recruitment industry, our focus is placed largely on referral-based networking. Getting it right really matters to us. Let us leverage our network of talent that has already been vouched for by leading professionals in the industry to help your business grow. Services Offered Contingency and Retained Search Here at hireVouch we focus on sourcing best-in-class candidates for rewarding positions in Canada and the US. We have extensive expertise in Contingency, Retained and Temporary placement, primarily within the IT sector. On-Site Search Assistance We have a trusted network of HR and search professionals who can provide on-site search services to help fulfill immediate needs as well as help train internal staff in finding the highest quality talent Company Marketing Strategy We know how competitive the job market can truly be and how important it is to have a strategy to attract talent. At hireVouch we have extensive expertise in helping companies better market themselves. We can provide the tools and knowledge that will assist you in making your business a highly attractive place to work. Developing a company marketing strategy is key to hiring the talent you need to grow.
- Abonnés LinkedIn
- 68 412
- Personnes associées sur LinkedIn
- 7
- Bureaux déclarés
- 215 Spadina Avenue, 4th Floor, Toronto, Ontario M5T 2C7, CA
- Autres noms enregistrés
- hireVouch
- Le profil indique une agence de recrutement
- Oui
Our Edge Hiring and retaining skilled talent is paramount for your company’s success. Finding the right people – who have the right skills and right personality fit – can be incredibly challenging in today’s job market. Here at hireVouch we can help you acquire the highest calibre candidates through the relationships we have formed over more than a decade. Our approach is an ethical one. Rather than use the…
| Champ | Valeur |
|---|---|
| Secteur | Staffing and Recruiting |
| Taille | 2-10 employees |
| Siège social | Toronto, Ontario |
| Type d’organisation | Privately Held |
| Fondée en | 2016 |
| Offres sur Jobsy | 175 |
| Voir la page |
About Us
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
Journal
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