Lead Software Engineer

March 7

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Maneva

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Maneva is a technology company that specializes in automating manufacturing processes using advanced AI solutions. Their product offerings include AI-powered quality control systems for defect detection, automated monitoring of machinery, and intelligent workforce management. Maneva aims to enhance operational efficiency and reduce labor costs for manufacturers through seamless integration of its digital worker solutions into existing operations.

2 - 10 employees

Founded 2022

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• 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. • We are seeking a Senior Software Lead to drive the development of our embedded software stack, ensuring a robust, high-quality, and scalable foundation for our AI-driven industrial applications. • The ideal candidate will bring deep expertise in Python or C, real-time embedded systems, and IoT applications, with a strong commitment to code quality, system reliability, and maintainability.

🎯 Requirements

• Technical Leadership: Own the software architecture, ensuring a rigid, scalable, and maintainable codebase optimized for real-time industrial applications. • Stack Development: Design and implement embedded systems for AI-powered applications in mobile robots, industrial vision, and autonomous vehicles. • Code Quality & Performance: Enforce best practices for code health, test coverage, and software reliability, with a focus on real-time processing, safety, and efficiency. • Integration & Deployment: Lead the integration of sensor-based AI systems, IoT devices, and real-time data processing pipelines into industrial environments. • Cross-functional Collaboration: Work closely with hardware engineers, AI researchers, and product teams to optimize system performance and deploy AI models on edge devices. • Automation & DevOps: Develop CI/CD pipelines for embedded software, ensuring seamless testing and deployment across robotic platforms, industrial vision systems, and research labs. • Scalability & Future-Proofing: Ensure the long-term health of the software stack, implementing architectural best practices to support rapid deployment and AI model updates. • Must-Have: Expert-level proficiency in Python or C for embedded programming and system optimization. • Deep experience in embedded systems development, including RTOS, microcontrollers, and real-time data processing. • Strong understanding of IoT protocols, edge computing, and industrial networking standards (e.g., MQTT, Modbus, CAN bus). • Hands-on experience with mobile robots, autonomous vehicles, or real-time vision systems. • Proficiency in software architecture design and system optimization for high-performance, real-time applications. • Experience integrating AI models into embedded hardware (e.g., NVIDIA Jetson, ARM Cortex, FPGA-based inference engines). • Familiarity with hardware interfaces (SPI, I2C, UART) and sensor integration for AI-powered applications. • Knowledge of DevOps practices, including CI/CD for embedded systems, automated testing, and software versioning. • Strong problem-solving and debugging skills, with a passion for optimizing performance in complex, real-world environments. • Nice-to-Have: Experience with ROS (Robot Operating System) for robotic applications. • Background in computer vision and deep learning model deployment on edge devices. • Familiarity with real-time safety and compliance standards in industrial automation. • Knowledge of machine learning frameworks (TensorFlow, PyTorch) and their optimization for embedded hardware.

🏖️ Benefits

• Work on cutting-edge AI & embedded systems for real-world industrial applications. • Be part of a high-growth, fast-scaling AI company solving mission-critical manufacturing challenges​. • Opportunity to lead & shape the future of industrial AI, with a focus on real-time automation and robotics​. • Collaborate with world-class engineers & AI experts in a dynamic, innovation-driven environment.