Job Title

About ManevaManeva, 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.What You'll DoAs a Mechatronics Engineer at Maneva, you'll be the full-stack technical leader driving the complete integration of AI-powered systems into manufacturing environments. You will design, install, and integrate machine vision systems from the ground up enabling manufacturers to identify defects (like imperfect chocolate bars) and optimize operations using Maneva's technology. Beyond hardware integration, you'll own, execute, and maintain the entire production software implementation, serving as the bridge between cutting-edge AI algorithms and real-world manufacturing applications.This role demands expertise across mechanical, electrical, and software domains. You'll travel to manufacturing sites, embed yourself into operations, and own full-cycle deployments that span hardware design, software development, system integration, and ongoing maintenance. From vision setup and PLC integration to deploying AI models and maintaining production software stacks, you will make our AI come alive on the line.Travel:Up to50% (35%+ in territory, 15%+ out-of-territory), including travel to the U.SKey ResponsibilitiesTake 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 systemsDesign and orchestrate AI vision system implementations by analyzing application requirements and generating hardware BOM for camera, lens, lighting, and compute component sourcingDevelop, deploy, and maintain production software applications on Linux-based edge devices, including AI inference pipelines, image processing workflows, and system monitoring solutionsDesign and integrate AI vision systems with PLCs and existing industrial automation infrastructure, implementing robust software interfaces for real-time communication and controlCommunicate regularly with customers and internal stakeholders throughout the entire project lifecycle, providing technical leadership on both hardware and software aspectsDeploy and maintain containerized applications using Docker, manage software updates, and ensure system reliability in production environmentsNavigate onsite networking, configure edge computing infrastructure, and implement secure, scalable software architecturesDesign signal integration and wiring for communication with sensors, I/O, and control systems while developing corresponding software drivers and interfacesImplement and maintain AI model deployment pipelines, including data preprocessing, real-time inference, and post-processing workflows using computer vision and machine learning frameworksSupport 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 approachesProvide onsite support for data collection efforts in live production environments and develop software tools for training data management and model iterationTroubleshoot complex hardware-software integration issues and rapidly iterate on deployments based on real-world operational resultsDeliver comprehensive training to plant operators and managers on both system operation and software interfacesDocument deployment configurations, software architectures, system performance metrics, and maintain technical documentation for internal use and customer value storiesWhat We're Looking ForMust-HavesDegree in Mechatronics, Electrical Engineering, Computer Engineering, Robotics, or related field or equivalent technical industry experience combining hardware and software expertisePrior industry experience in industrial automation, machine vision, robotics, automotive, or related manufacturing technology fieldsProven ability to handle complex projects as both project owner and technical lead, with direct customer engagement for technical coordination and feedbackStrong programming skills in Python with experience in production software development and deploymentHands-on experience with Linux systems, command line operations, and system administrationExperience with Docker containerization and deployment of applications in production environmentsProficiency with computer vision libraries including OpenCV and image processing techniquesFamiliarity with machine learning frameworks such as TensorFlow and/or PyTorch for model deployment and inferenceExperience with NumPy and scientific computing libraries for data processing and analysisExperience with NVIDIA Jetson or similar edge computing platforms for AI deploymentExperience with electrical wiring design, mechanical system integration, and understanding of manufacturing environmentsProven ability to work independently in field environments and manage complex technical deploymentsExcellent communication skills for technical coordination with both technical and non-technical stakeholdersNice-to-HavesExperience with additional AI/ML frameworks and libraries (ONNX, TensorRT, OpenVINO, scikit-learn, Pandas)Proficiency in additional programming languages (C++, C#, JavaScript/Node.js for web interfaces)Experience with cloud platforms and services (AWS, Azure, GCP) for hybrid edge-cloud deploymentsFamiliarity with embedded systems programming and real-time operating systemsExperience with version control systems (Git), CI/CD pipelines, and DevOps practicesKnowledge of industrial camera and image transport protocols (GenICam, GigE Vision, USB3 Vision)Experience with PLC integration protocols (Ethernet/IP, Modbus, Profinet, OPC-UA) and industrial control systemsDatabase management experience (SQL, InfluxDB, MongoDB) for data storage and analyticsExperience with message queuing systems (MQTT, RabbitMQ, Apache Kafka) for industrial IoTFamiliarity with web frameworks (Flask, FastAPI, React) for building operator interfaces and dashboardsExperience with monitoring and logging tools (Grafana, Prometheus, ELK stack) for production system managementKnowledge of cybersecurity best practices for industrial systemsExperience with fleet management and remote device management solutionsBackground in computer vision algorithms, deep learning model optimization, and edge AI accelerationPrior experience in food & beverage, CPG, automotive, or packaging manufacturing environmentsExperience in startup environments or cross-functional hardware/software product teamsUnderstanding of lean manufacturing principles and continuous improvement methodologiesWhy Join Maneva?Work with cutting-edge Vision AI & IoT solutionsthatpowerautonomous manufacturing, robotics, and industrial automation.Opportunity to leadin a fast-growing AI companydrivingreal-world impact in industrial AI adoption.Travel opportunitiesto industrial sites, tech conferences, and research labs.Collaborate with world-class engineers & AI expertsin a dynamic, innovation-driven environment.Important Notice: Protecting Your Personal InformationWe 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 . #J-18808-Ljbffr