Software Engineer (Arkansas & Surrounding States)

About Maneva 

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. 

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

• Ex