Product Engineer Intern 4 or 8 Months - Fall 2026

About the opportunity: We are looking for a Product Engineer Intern with an interest in visualizing and optimizing large-scale data with an amazing UI/UX. The successful candidate will collaborate on the design, development, and implementation of our proprietary data visualization platform used by large enterprise customers to gain real-time insights into complex organizational structures.   This role combines hands-on AI-driven software engineering with close collaboration with cross-functional teams to deliver secure, high-performance, scalable solutions for C-level stakeholders.   What you’ll get to do: Requirements & System Design Collect, analyze, and document user and business requirements for complex software and data visualization solutions. Develop and refine detailed technical requirements and specifications. Research, evaluate, and synthesize technical information to design, develop, and test computer-based systems and applications. Data & System Architecture Develop data, process, and network models to optimize system architecture and evaluate the performance, scalability, and reliability of designs. Implement architectural designs and redesigns for large-scale organizational data processing and visualization systems, including identifying bottlenecks and applying advanced optimization techniques. Plan, design, and coordinate the development, integration, deployment, and operation of systems and applications. Implementation, Testing & Maintenance Develop modern cross-platform applications (web and/or mobile) using frameworks and tools (e.g., Vuejs, Nodejs, and design systems). Assess, test, and troubleshoot software systems and applications, including performance tuning of big data and visualization workloads. Design, architect, and implement a multi-level caching system for large enterprise organizations, graph-based data structures. Design, architect, and implement Enterprise Resource Planning features for position and personnel resource planning. Design, architect, and implement Enterprise Resource Planning features for job architectures. Document system designs, technical specifications, and maintenance procedures. Implement upgrades, patches, and improvements to operating environments and application software, ensuring high availability and resilience. Develop and maintain procedures for monitoring, incident response, and ongoing system maintenance. The system must work for large enterprises with hundreds of thousands of employees. Collaboration Coordinate with other software engineers and information systems professionals in the development of software and integrated information systems. Work on cross-functional collaboration between engineering, data, and product teams to deliver complex projects on time and within quality standards. Provide technical mentorship, code review, and guidance on best practices in software architecture, performance optimization, and data visualization. Security & Compliance Design and implement features and architectures that enhance the security, integrity, and confidentiality of sensitive organizational data. Identify and mitigate potential vulnerabilities, ensuring compliance with relevant data protection and privacy regulations. Architect and implement SOC 2 Type II and ISO 27001 compliant systems.   Skills and experience we value: Enrolled in a Bachelor's degree (or higher) program in Computer Science, Software Engineering, Information Technology, or a closely related field; or an equivalent combination of education and experience. Data visualization for large or complex datasets Performance optimization of large-scale or big data systems Experience designing, developing, and deploying computer-based systems and applications in a production environment. Proficiency in software design and architecture, including modeling data, processes, and system interactions. Proficiency in AI-driven software development. Candidate must demonstrate the utilization of AI in software development. Experience with modern web application development, such as: JavaScript's modern front-end frameworks (e.g., Vue.js, React, or similar) - Node.js - Postgres DB, and Python Component-based UI development and design systems (e.g., Tailwind CSS or similar). Hands-on experience with data visualization frameworks or libraries and techniques for rendering and optimizing large datasets (e.g., virtualization, occlusion culling, or similar performance techniques). Experience with performance optimization and scalability for high-traffic, data-intensive systems. Familiarity with distributed systems, cloud-based environments, and integration with back-end services or data pipelines. Strong understanding of software testing, troubleshooting, and debugging in complex systems. Strong understanding of graph-based data structures. Strong understanding of different layers of caching systems and context-aware prompt engineering.