Job Title

A stealth-mode innovator in the AI-driven manufacturing sector is seeking a highly skilled Staff Software Engineer to build and deploy reliable, real-time solutions on edge devices within industrial environments. This is a remote position based in the Greater Toronto Area, offering the opportunity to work on groundbreaking tech shaping the future of factory automation. This role is for a handson developer with a passion for optimizing industrial operations through vision AI, robust system architecture, and scalable data infrastructure. Youll collaborate with worldclass engineers and AI scientists to translate cuttingedge research into realworld impact. Key Responsibilities Design and implement robust on-premise infrastructure to power real-time AI vision systems on Linux-based edge devices. Develop and maintain productiongrade applications handling AI inference, image processing, and system health monitoring. Engineer OTA (OverTheAir) deployment systems and build fleetwide software orchestration capabilities for distributed device networks. Integrate with industrial hardware systems, including PLCs, and legacy manufacturing execution systems (MES). Implement error recovery mechanisms, realtime monitoring, alerting, and reliability safeguards to ensure system uptime in missioncritical environments. Contribute to the development of a centralized data platform that supports industrial analytics, facility optimization, and predictive insights. Work with crossfunctional teams to integrate AI vision workflows into safety, inspection, and quality control operations. Enhance application efficiency for edge systems with strict latency and resource limitations. Ensure secure, scalable communication across IoT devices and industrial protocols. Qualifications MustHave: Strong software engineering foundation with 10+ years of experience developing productionready systems, especially in manufacturing or industrial settings. Proficient in Python, Linux environments, and systemlevel development. Handson experience with containerization (e.g., Docker) and modern DevOps practices. Familiarity with deploying AI/ML inference pipelines and computer vision tools. Knowledge of system reliability design (monitoring, graceful degradation, recovery strategies). Exposure to hybrid cloudedge deployments across platforms like AWS, GCP, or Azure. Experience with device management, IoT communication protocols (MQTT, REST), and fleetwide orchestration. Preferred: Experience with web development tools (TypeScript, React) for dashboards and operator interfaces. Familiarity with edge AI platforms like NVIDIA Jetson. Understanding of industrial networking and automation protocols (Modbus, OPCUA, Ethernet/IP). Prior work on OTA update systems in resourceconstrained environments. Strong debugging skills and problemsolving in uptimecritical environments. Bonus Points: Knowledge of timeseries databases (InfluxDB, Prometheus, Grafana). Experience with manufacturing data platforms, MES, or QMS. Background in vision systems, OpenCV, TensorFlow, or PyTorch. Sector experience in food & beverage, automotive, or consumer goods manufacturing is a plus. Whats In It For You Shape the future of AIdriven factory automation with a highgrowth startup. Work alongside globally recognized AI experts and engineers. Make tangible impact in production environments - not just prototypes or lab experiments. Full remote flexibility with occasional travel to industrial sites or conferences (if interested). Competitive compensation package aligned with fastpaced startup environments. If youre a platformoriented software engineer who thrives on performance, uptime, and deploying realtime intelligence in the physical world, this is your next careerdefining opportunity. About Blue Signal: Blue Signal is an awardwinning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing toptier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46Gs4yS #J-18808-Ljbffr