Staff Software Engineer

• →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.
• →Enhance application efficiency for edge systems with strict latency and resource limitations.
• →Ensure secure, scalable communication across IoT devices and industrial protocols.

• Strong software engineering foundation with 10+ 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.

• 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.

• 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.

• 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.

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