Xora Innovation

• Build and Manage the AI Organization: You will build and manage the AI organization at 4MP, while doing hands-on technical work. You will recruit and mentor a world-class team while architecting the AI modules, writing code, reviewing architecture, and building prototypes alongside them. • Lead AI Architecture: Design and develop the intelligence layers that enable machines to interpret manufacturing intent, understand system deviations, and autonomously generate corrective actions. • Integrate Multidisciplinary Data: Define how AI interacts with physics-based models, machine telemetry, sensor data, CNC programs, and manufacturing context. • Interpret & Modify CNC Programs: Build AI systems to extract machining intent from G-code, accounting for operator variability, CAM differences, and varied programming styles. • Design Learning Frameworks: Develop feedback loops that combine AI reasoning with physics-based models and sensor data, allowing machines to improve from each correction cycle and production result. • Build Data Infrastructure: Create a scalable data architecture that captures manufacturing intelligence across machines, parts, tools, materials, and production environments. • Create Simulation Environments: Define simulation and validation environments for training, testing, and scaling autonomous correction models. • Drive Strategic Cross-Functional Leadership: In close interaction with other functional leaders, you will contribute to defining the company strategy, technology and business roadmaps, and comprehensive project plans.

Role Description We are seeking a hands-on, visionary VP of AI who can architect, code, build, and lead from the front. You will work directly with the founding leadership team across software, machine physics, geometry, metrology, and data infrastructure to build the intelligence layer for a new category of manufacturing. Joining at this seed stage means you will have a foundational voice in shaping the company, the technical architecture, and our future product direction. You will not simply lead an AI function; you will define how AI becomes the foundational layer of autonomous manufacturing. What You Will Do - Build and Manage the AI Organization: You will build and manage the AI organization at 4MP, while doing hands-on technical work. You will recruit and mentor a world-class team while architecting the AI modules, writing code, reviewing architecture, and building prototypes alongside them. - Lead AI Architecture: Design and develop the intelligence layers that enable machines to interpret manufacturing intent, understand system deviations, and autonomously generate corrective actions. - Integrate Multidisciplinary Data: Define how AI interacts with physics-based models, machine telemetry, sensor data, CNC programs, and manufacturing context. - Interpret & Modify CNC Programs: Build AI systems to extract machining intent from G-code, accounting for operator variability, CAM differences, and varied programming styles. - Design Learning Frameworks: Develop feedback loops that combine AI reasoning with physics-based models and sensor data, allowing machines to improve from each correction cycle and production result. - Build Data Infrastructure: Create a scalable data architecture that captures manufacturing intelligence across machines, parts, tools, materials, and production environments. - Create Simulation Environments: Define simulation and validation environments for training, testing, and scaling autonomous correction models. - Drive Strategic Cross-Functional Leadership: In close interaction with other functional leaders, you will contribute to defining the company strategy, technology and business roadmaps, and comprehensive project plans. Qualifications - Hands-On AI Management: Proven experience building and managing an AI organization while doing hands-on technical work. You must be comfortable leading teams while actively contributing to the codebase. - 10+ Years of Experience: Deep background in AI, software engineering, machine learning architecture, robotics, intelligent systems, or complex technical platforms. - Industrial Domain Expertise: Direct experience with robotics, autonomous systems, industrial systems, physics-informed machine learning, reinforcement learning, control systems, simulation, digital twins, or real-world telemetry. - System Architecture Expertise: Deep experience designing and building production-grade AI, ML, data, or software infrastructure from the ground up. - Strong Coding and Data Proficiency: Exceptional hands-on coding skills and ability to manage data pipelines, model orchestration, validation, feedback loops, and complex, messy, real-world data. - Core AI/ML Expertise: Strong, up-to-date understanding of optimization, statistical modeling, and system-level AI design. - Educational Foundation: Bachelor’s degree in Computer Science, Robotics, Engineering, Physics, Mathematics, or a related field. What Will Set You Apart - Advanced Degree: Master’s or PhD in Computer Science, Robotics, Engineering, Physics, Mathematics, or a related field. - Startup & Scaling Experience: An ideal candidate will bring a unique blend of agile startup experience alongside a proven track record of navigating the growth, product-focused phase at a major AI organization (such as OpenAI, Anthropic, Google, Meta, etc.). - “Can Do”, Driven Attitude: A track record of turning ambiguous, unsolved technical problems into reliable, working systems where no playbook existed. - Systems Thinker: A focus on building foundational, long-term scalable platforms and intelligent systems rather than just standalone models. - Visionary Drive: You are not just looking for a senior title; you are looking for the opportunity to achieve a career-defining milestone by building a platform that fundamentally reshapes an entire industry.

• As a software developer at Xora, you'll be the brain behind crafting, developing, testing, going live and maintaining the system. • You are passionate in understanding collaborating in the open-source space. • You have an affinity for working on dynamically changing teams and coordinating responsibilities with external software developers. • You will be reporting to the platform director, and together will be engaging on pioneering software features and creating the developmental agenda for growth and acceleration of the platform. • Familiar with the software development life cycle (SDLC) from analysis to deployment. • Comply with coding standards and technical design. • Believes in systematic approach to developing the system through clear documentation (flowcharts, layouts, & etc) of functionality, address every use case through creative solutions. • Adapts structured coding styles for easy review, testing and maintainability of the code. • Integrate the developed functionality and/or component into a fully functional system. • Ensure unit and integration level verification plans are in place and adheres to great quality of code at all time. • Verify user feedback in making the system more stable and easy. • Work closely with stakeholders, designers and other peer developers. • Preparing technical training documents for onboarding new engineers.