Sr. Software Engineer

3 weeks ago


Toronto, Canada Blue Signal Search Full time

Sr. Software Engineer - AI Location: Remote – Toronto, ON A stealth-mode innovator in the AI-driven manufacturing sector is seeking a highly skilled Sr. AI 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 hands-on developer with a passion for optimizing industrial operations through vision AI, robust system architecture, and scalable data infrastructure. You’ll collaborate with world-class engineers and AI scientists to translate cutting-edge research into real-world 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 production-grade applications handling AI inference, image processing, and system health monitoring. Engineer OTA (Over-The-Air) deployment systems and build fleet-wide software orchestration capabilities for distributed device networks. Integrate with industrial hardware systems, including PLCs, and legacy manufacturing execution systems (MES). Implement error recovery mechanisms, real-time monitoring, alerting, and reliability safeguards to ensure system uptime in mission-critical environments. Contribute to the development of a centralized data platform that supports industrial analytics, facility optimization, and predictive insights. Work with cross-functional teams to integrate AI vision workflows into safety, inspection, and quality control operations. Optimize software performance for constrained, latency-sensitive edge environments. Ensure secure, scalable communication across IoT devices and industrial protocols. Qualifications Must-Have: Strong software engineering foundation with 3–5 years of experience developing production-ready systems, especially in manufacturing or industrial settings. Proficient in Python, Linux environments, and system-level development. Hands-on 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 cloud-edge deployments across platforms like AWS, GCP, or Azure. Experience with device management, IoT communication protocols (MQTT, REST), and fleet-wide 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, OPC-UA, Ethernet/IP). Prior work on OTA update systems in resource-constrained environments. Strong debugging skills and problem-solving in uptime-critical environments. Bonus Points: Knowledge of time-series 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. What’s In It For You Shape the future of AI-driven factory automation with a high-growth 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 fast-paced startup environments. If you're a platform-oriented software engineer who thrives on performance, uptime, and deploying real-time intelligence in the physical world, this is your next career-defining opportunity. About Blue Signal: Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46Gs4yS


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