Maneva

Engineer

• 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.
• What You'll Do: As a Mechatronics Engineer at Maneva, you'll be the full-stack technical leader driving the complete integration of AI-powered systems into manufacturing environments, designing, installing, and integrating machine vision systems and owning production software implementation.
• Travel: Up to 50% (35%+ in territory, 15%+ out-of-territory), including travel across North America.
• Key Responsibilities:
• Take project ownership and architect end-to-end customer projects from design proposal through implementation and ongoing software maintenance, ensuring seamless integration of hardware and software systems
• Design and orchestrate AI vision system implementations by analyzing application requirements and generating hardware BOM for camera, lens, lighting, and compute component sourcing
• Develop, deploy, and maintain production software applications on Linux-based edge devices, including AI inference pipelines, image processing workflows, and system monitoring solutions
• Design and integrate AI vision systems with PLCs and existing industrial automation infrastructure, implementing robust software interfaces for real-time communication and control
• Communicate regularly with customers and internal stakeholders throughout the entire project lifecycle, providing technical leadership on both hardware and software aspects
• Deploy and maintain containerized applications using Docker, manage software updates, and ensure system reliability in production environments
• Navigate onsite networking, configure edge computing infrastructure, and implement secure, scalable software architectures
• Design signal integration and wiring for communication with sensors, I/O, and control systems while developing corresponding software drivers and interfaces
• Implement and maintain AI model deployment pipelines, including data preprocessing, real-time inference, and post-processing workflows using computer vision and machine learning frameworks
• Support plant walk-throughs and site assessments to identify high-impact AI use cases in the pre-sales process, providing technical expertise on both feasibility and implementation approaches
• Provide onsite support for data collection efforts in live production environments and develop software tools for training data management and model iteration
• Troubleshoot complex hardware-software integration issues and rapidly iterate on deployments based on real-world operational results
• Deliver comprehensive training to plant operators and managers on both system operation and software interfaces
• Document deployment configurations, software architectures, system performance metrics, and maintain technical documentation for internal use and customer value stories