Maneva

Design, develop, and integrate mechatronic systems supporting AI-driven manufacturing solutions, collaborating with cross-functional teams to prototype, test, and deploy automation technologies. | Bachelor’s degree in Mechatronics or related field, 3+ years experience in mechatronics or automation engineering, proficiency in CAD and embedded programming, strong hardware integration and troubleshooting skills. | Job Title: Mechatronics Engineer Company Overview: Maneva is an innovative startup founded by a former Google DeepMind researcher, dedicated to transforming manufacturing operations through advanced AI technologies. We specialize in delivering AI-powered solutions that enable autonomous factory operations and optimize production efficiency using off-the-shelf hardware and proprietary software. Role Overview: As a Mechatronics Engineer at Maneva, you will play a critical role in designing, developing, and integrating intelligent mechanical and electronic systems that support our AI-driven manufacturing solutions. You will collaborate closely with cross-functional teams to bring cutting-edge automation technologies from concept to deployment. What You'll Do: - You will design and prototype mechatronic systems that integrate sensors, actuators, and control electronics. - You will develop and test embedded software to ensure seamless hardware-software interaction. - You will collaborate with AI researchers and software engineers to implement real-time data acquisition and control. - You will troubleshoot and optimize existing systems to improve reliability and performance. - You will participate in the selection and integration of off-the-shelf components to accelerate development. - You will document designs, test procedures, and system specifications clearly and thoroughly. - You will support the deployment and maintenance of mechatronic solutions in manufacturing environments. What You Bring: - Bachelor’s degree in Mechatronics, Mechanical Engineering, Electrical Engineering, or a related field. - 3+ years of experience in mechatronics design, embedded systems, or automation engineering. - Proficiency in CAD software (e.g., SolidWorks, AutoCAD) and embedded programming languages (e.g., C/C++). - Strong understanding of sensors, actuators, microcontrollers, and control systems. - Experience with hardware integration and troubleshooting in industrial settings. - Excellent problem-solving skills and ability to work collaboratively in a fast-paced startup environment. Bonus Points If You Have: - Experience working with AI or machine learning systems in manufacturing. - Knowledge of robotics and automation frameworks. - Familiarity with Linux-based embedded systems. - Prior experience in a startup or agile development environment. What We Offer: - We offer a dynamic and innovative work environment with opportunities to work on cutting-edge AI and automation technologies. - We offer competitive salary and equity options to share in the company’s success. - We offer flexible work hours and remote work options to support work-life balance. - We offer professional development opportunities and a culture that encourages continuous learning. - We offer comprehensive health benefits and wellness programs. Ready to Apply? Please submit your resume and a cover letter detailing your relevant experience and why you are excited to join Maneva to careers@maneva.com. We look forward to hearing from you!

Design, develop, and integrate mechatronic systems to support AI-powered manufacturing solutions, collaborating with cross-functional teams and ensuring system reliability. | Bachelor's degree in Mechatronics or related field, 3+ years experience, proficiency in CAD and circuit design, strong control systems knowledge, embedded systems experience, and excellent problem-solving skills. | Job Title: Mechatronics Engineer Company Overview: Maneva is a pioneering startup founded by an ex-Google Deepmind researcher, dedicated to transforming manufacturing operations through advanced AI technologies. We specialize in delivering AI-driven solutions that enable autonomous factory operations and optimize production efficiency using off-the-shelf hardware and innovative software. Role Overview: As a Mechatronics Engineer at Maneva, you will play a critical role in designing, developing, and integrating intelligent mechanical and electronic systems that support our AI-powered manufacturing solutions. Your work will directly contribute to the automation and optimization of factory processes, driving innovation in the manufacturing sector. What You'll Do: - You will design and develop mechatronic systems that integrate mechanical, electronic, and software components. - You will collaborate with AI researchers and software engineers to implement hardware solutions that support AI algorithms. - You will prototype and test new devices and systems to ensure reliability and performance. - You will troubleshoot and resolve technical issues in existing mechatronic systems. - You will contribute to the continuous improvement of manufacturing automation technologies. - You will document designs, processes, and test results clearly and thoroughly. - You will participate in cross-functional team meetings to align engineering efforts with company goals. - You will stay updated on emerging technologies and industry trends to inform product development. What You Bring: - Bachelor’s degree in Mechatronics, Mechanical Engineering, Electrical Engineering, or a related field. - Minimum of 3 years of experience in mechatronics or related engineering roles. - Proficiency in CAD software and circuit design tools. - Strong understanding of control systems, sensors, and actuators. - Experience with embedded systems and microcontroller programming. - Excellent problem-solving skills and ability to work collaboratively in a fast-paced startup environment. Bonus Points If You Have: - Experience working with AI or machine learning hardware integration. - Knowledge of robotics and automation systems. - Familiarity with manufacturing processes and industrial IoT. - Advanced degree in a relevant engineering discipline. What We Offer: - We offer a dynamic startup environment with opportunities for professional growth and innovation. - We offer competitive salary and equity options. - We offer comprehensive health, dental, and vision insurance. - We offer flexible work hours and remote work options. - We offer a collaborative culture that values creativity and continuous learning. Ready to Apply? Please submit your resume and a cover letter detailing your relevant experience and why you are excited to join Maneva to careers@maneva.com. We look forward to hearing from you!

Design and implement robust on-premise AI infrastructure and production software for manufacturing edge devices, ensuring reliability, integration with industrial systems, and performance optimization. | 3-5 years of experience building production-grade Python software for industrial/manufacturing environments with Linux edge computing, cloud experience, containerization, and knowledge of AI vision systems and industrial protocols. | 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. 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 Experience with time-series databases and analytics platforms for manufacturing data (InfluxDB, Grafana, Prometheus) Background in computer vision libraries (OpenCV) and machine learning frameworks (TensorFlow, PyTorch) deployment Familiarity with manufacturing execution systems (MES) and quality management systems Experience with device management platforms for industrial IoT deployments Understanding of cybersecurity best practices for on-premise industrial systems Knowledge of data pipeline architectures for connected facility analytics Experience in food & beverage, CPG, automotive, or packaging manufacturing environments Preferred Candidate Profile On-Premise Deployment Experience: Candidates who have deployed and maintained software systems directly in industrial/manufacturing environments, addressing network constraints, security requirements, and uptime expectations Production Reliability Background: Experience in production systems where downtime has direct business impact (manufacturing, industrial automation, critical infrastructure) Vision/AI Application Deployment: Experience deploying computer vision or AI applications in real-world production environments, with an understanding of model performance, data quality, and system integration challenges Manufacturing Domain Knowledge: Understanding of manufacturing processes, quality control requirements, and operational constraints in production environments Infrastructure Mindset: Candidates who prioritize system architecture, scalability, monitoring, and long-term maintenance—not just feature development Edge Computing Experience: Familiarity with resource-constrained environments, edge device management, and distributed system challenges in industrial settings Why Join Maneva? Work with cutting-edge Vision AI & IoT solutions that power autonomous manufacturing, robotics, and industrial automation​. Opportunity to lead in a fast-growing AI company driving real-world impact in industrial AI adoption​. Travel opportunities to industrial sites, tech conferences, and research labs. Collaborate with world-class engineers & AI experts in a dynamic, innovation-driven environment. Important Notice: Protecting Your Personal Information We are committed to ensuring the security and privacy of all applicants. Please be aware that our company will never ask for sensitive personal information, via email, phone call or text message. We also do not require payment from applicants for any part of the hiring process. If you are contacted by someone claiming to represent our company and asking for such information, please do not respond. Instead, report the incident to us immediately at IT-Security@Maneva.ai.