Remote Software Engineer

Description:

• Maneva is a startup founded by an ex-Google Deepmind researcher, focused on revolutionizing manufacturing operations with AI solutions for autonomous factory operation and optimization.
• The role involves designing and implementing robust software infrastructure for deploying vision-based AI applications on manufacturing floor devices and edge computing platforms.
• Responsibilities include building and maintaining production-grade software applications on Linux-based edge devices, implementing monitoring and error recovery systems, and developing software interfaces for AI vision systems.
• The position also requires contributing to AI-powered data platforms, building device management systems for AI deployments, and designing over-the-air software update mechanisms.
• Collaboration with hardware teams for integration with existing industrial automation infrastructure and optimizing software performance for resource-constrained environments is essential.

Requirements:

• Strong proficiency in Python for production software development and system architecture is required.
• Proven experience in architecting and building infrastructure solutions that ensure uptime and reliability of real-time on-premise applications is necessary.
• Candidates should have 3–5 years of experience in building production-grade software systems, preferably in industrial or manufacturing environments.
• Cloud computing experience with major platforms (AWS, Azure, GCP) for hybrid edge-cloud deployments is essential.
• Hands-on experience with Linux systems, command line operations, and system administration for edge computing platforms is required.
• Experience with containerization technologies (Docker) and deployment of applications in production environments is necessary.
• Understanding of computer vision workflows and AI inference pipelines for manufacturing applications is required.
• Knowledge of application reliability principles, including monitoring, alerting, and error recovery, is essential.
• Candidates should understand 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 are required.

Benefits:

• Employees will work with cutting-edge Vision AI and IoT solutions that power autonomous manufacturing, robotics, and industrial automation.
• There is an opportunity to lead in a fast-growing AI company that drives real-world impact in industrial AI adoption.
• Travel opportunities to industrial sites, tech conferences, and research labs are available.
• Employees will collaborate with world-class engineers and AI experts in a dynamic, innovation-driven environment.